A top bank in the United Kingdom, committed to delivering secure and seamless digital banking experiences, faced a critical challenge to its growth. As its digital banking applications grew more complex, the institution faced significant testing challenges that slowed innovation and increased operational costs.
The existing infrastructure suffered from limited device and browser coverage, while time-consuming manual testing processes delayed release cycles. Legacy methods were inefficient, failing to adequately cover critical use cases.
To overcome these hurdles and enhance its digital customer experience, the bank partnered with Qyrus, implementing a modern device farm automated testing strategy to transform its quality assurance process.
Demonstrating immense scalability and adoption, the bank built and ran over 300,000 tests, logging more than 26,000 hours of execution time.
About the Client
The client, a top bank in the United Kingdom, provides safe and easy digital banking experiences. As the financial sector changes, the client has focused on innovation. This helps meet the rising expectations of its customers.
The organization focuses on improving the digital customer experience. It has invested in updating its infrastructure. This is especially true for software development and quality assurance.
To support its digital transformation, the client has adopted new technologies. These technologies make its mobile and web platforms reliable, secure, and easy to use.
As digital banking applications became more complex, the need for a better testing solution grew. This made the client look into better mobile software testing tools. They decided to implement a strong device farm automated testing strategy to ensure quality and speed at scale.
Why Legacy Testing Failed to Deliver a Premier Digital Customer Experience
Before partnering with Qyrus, the bank’s ability to deliver a flawless digital customer experience was compromised by several significant roadblocks. The existing testing methods were ill-equipped for the demands of modern digital banking, leading to inefficiencies that impacted everything from release speed to operational costs. The core challenges included:
Inadequate Device and Browser Coverage: The testing environment was restricted to a limited number of devices and browsers. This posed a significant risk to the digital customer experience, as bugs and performance issues on the wide variety of platforms used by customers could easily go undetected.
Time-Consuming Manual Processes: Labor-intensive manual testing was slow, prone to human error, and significantly delayed product release cycles. These inefficient processes not only slowed down innovation but also contributed to rising operational costs and resource constraints.
Inefficient Legacy Systems: The bank’s previous testing method, CITS, was inefficient and slow. This outdated approach was unable to keep up with the demands of complex banking applications, leaving critical use cases untested.
Lack of Actionable Insights: Reporting capabilities were basic and lacked the necessary tools for deep analysis, such as comprehensive screenshots, video playback, and analytics dashboards. This made it difficult for teams to diagnose and resolve issues quickly.
Difficulty Scaling On-Demand: The client struggled to scale testing efforts to align with the rapid pace of digital product development. It became clear that without adopting superior mobile software testing tools and a robust strategy for device farm automated testing, the organization could not efficiently ensure quality at scale.
Life with Qyrus: Scalable, Reliable, and Automated Testing
The choice to use Qyrus’ device farm for automated testing changed the client’s digital strategy. What started as a small trial quickly grew into a large deployment. It involved 44 devices and 75 to 85 active users.
This expansion allowed the client to test its apps on Android and iOS devices. They also were able to test with major browsers like Chrome, Firefox, Safari, and Edge on Windows, Mac, and Linux.
The Qyrus platform provided the client with powerful reporting and analytics tools that significantly improved visibility into test performance. Detailed reports, complete with screenshots, video logs, and advanced dashboards, allowed teams to quickly diagnose and resolve issues. This led to a substantial reduction in production bugs and a more stable, reliable digital platform.
Automation became a core component of the client’s testing strategy. With Qyrus, the client doubled their automated test cases.
They also reached over 90% test coverage on web and mobile platforms. Testers executed more than 308,000 tests, logging over 26,000 hours of test execution time. These results highlight the scalability and efficiency of the device farm automated testing approach.
Non-technical users can contribute to test creation and execution because of the simplicity of Qyrus. This method of testing helped bridge the gap between business and technical teams. This further helped to foster a more collaborative and agile development environment.
The client also benefited from the ability to simulate real-world scenarios across different devices and browsers. This comprehensive testing approach ensured that the digital products were robust and user-friendly. This would be regardless of the platform used by the customers.
Security and Compliance
In the financial services industry, security and compliance are paramount. The client required a testing solution that could meet stringent regulatory standards while supporting its need for scalability. Qyrus delivered on both fronts. The secure infrastructure protected sensitive financial data, while the flexible architecture allowed the client to expand its testing capabilities without compromising compliance.
The client decided to deepen its partnership with Qyrus because it can keep high security standards while growing operations. The platform’s enterprise-grade security certifications provided the assurance needed to innovate confidently in a highly regulated environment.
Moreover, Qyrus’ stringent security compliance gave the peace of mind that the client needed. Qyrus ensured a seamless and secure testing environment. This integration further strengthened the client’s ability to protect data and maintain regulatory compliance.
Results So Far
The results of implementing device farm automated testing have been impactful for the client. The organization reported a 150% increase in testing efficiency, enabling faster release cycles and significantly reducing the number of bugs in production. This improvement has directly affected the digital customer experience. Users now enjoy more reliable and responsive digital services.
Workflows have become automated, teams have become more agile, and collaboration between them is on a rise. Teams are now able to respond more quickly to changing requirements and deliver high-quality software at scale. The move to automation has led to significant cost savings. It has greatly reduced manual testing work and person-days.
The client has also seen improvements in team morale and productivity. With fewer repetitive tasks and clearer insights into testing outcomes, teams can focus more on innovation and continuous improvement.
Additionally, the client has been able to leverage the detailed analytics provided by Qyrus to make data-driven decisions. These insights have helped the client optimize its testing processes and identify areas for further improvement.
What’s Next for the Client
The client plans to build on its success. They will add AI-powered testing tools to their current system. These tools will allow for smarter automation, better analytics, and real-time issue detection. This will improve the efficiency of its device farm testing strategy.
The organization also aims to expand the involvement of non-technical teams in the testing process. Thanks to Qyrus’ easy low-code and no-code features, business users can help with test design and execution. This creates a more collaborative and inclusive way to ensure quality.
Compliance testing will remain a top priority. As rules change, the client promises to stay ahead by using Qyrus’ advanced security features. The organization will keep working to lower costs and increase test coverage.
The client is also exploring the use of machine learning algorithms to predict potential issues before they occur. This proactive approach to testing will further enhance the reliability and performance of their digital products.
Furthermore, the client is considering expanding its device farm to include more devices and browsers. This is to ensure even greater coverage and more comprehensive testing. This expansion will help the client stay ahead of the curve.
Why Qyrus?
The client selected Qyrus after a comprehensive evaluation of available solutions. Qyrus’ real device cloud impressed the organization. It offered the flexibility needed to test on many platforms.
The platform has an easy-to-use interface. Its low-code and no-code features make it accessible for everyone. It also integrates well with current workflows, ensuring a smooth transition.
Qyrus provided strong security and reporting features. These were important for the client to stay compliant and protect customer data. This combination of scalability, usability, and security made Qyrus the ideal partner for the client’s digital transformation journey.
By using device farm automated testing and advanced mobile software testing tools, the client has improved its operations. This change has also enhanced the digital customer experience. The organization is now better equipped to innovate, adapt, and lead in the competitive world of digital banking.
The client also values Qyrus’ commitment to continuous improvement and customer support. The Qyrus team has been responsive and proactive in addressing any issues and providing guidance on best practices. This strong partnership has been instrumental in the client’s success and will continue to drive future innovations.
We live in a world dominated by small screens. It’s the first thing we check in the morning and the last thing we see at night. This mobile-first reality has created a staggering digital economy, with mobile apps generating over $935 billion in revenue in 2024 and users spending a combined 4.2 trillion hours glued to their applications. In this hyper-competitive arena, your native mobile app isn’t just another channel; it is your brand, your store, and your relationship with the customer.
But here’s the stark reality: user tolerance for mistakes is virtually zero. In a market with endless choices, a single bug can have devastating consequences. Consider that a staggering 88% of users will abandon an app after a bad experience , and 71% will uninstall it simply because it crashes or has errors. The stakes are clear. For any business to thrive, delivering flawless native experience through robust mobile application automation testing is not just an advantage—it’s a fundamental requirement for survival.
This post explores why a strategic investment in an intelligent automation tool for mobile application testing is critical, and how a next-generation platform can be the key to unlocking success.
The Bedrock of Quality: How Mobile Testing Automation Pays for Itself
To keep up with the demands of the modern market, development teams have learned that treating testing as an afterthought is a recipe for failure. Smart organizations perceive automation not merely as a project-specific expense but as a capital investment in their quality assurance process. It’s a strategic imperative that delivers compounding returns in speed, cost-effectiveness, and reliability.
The most immediate benefit is a dramatic increase in speed. While manual testing is slow, tedious, and vulnerable to human error; automated scripts can run around the clock, executing hundreds of test cases in a fraction of the time without missing a single issue. This is especially true for repetitive but crucial tasks like regression testing, where companies report slashing test times by a massive 70-80%. By integrating mobile app automation testing tools into their development pipeline, teams can shrink feedback cycles by up to 80%, reducing QA time from days to mere hours and empowering developers to fix bugs faster than ever before.
This efficiency translates directly into significant long-term cost savings. While automation requires an initial investment in tools and setup, these costs are consistently offset by long-term gains. Consider the incredible returns: one report found that every dollar invested in user experience—a direct result of high-quality testing—can yield up to $100 in return, yielding an staggering 9,900% ROI.
Finally, automation provides a level of accuracy that humans simply cannot match. Manual testing, especially for repetitive tasks, is highly prone to fatigue and error. Automated scripts, however, execute the exact same steps with perfect consistency every time, free from distractions or oversight. This eliminates human error, leading to more reliable results and a higher-quality product that users can trust.
Meeting the “Native Expectation” in Mobile Application Automation Testing
The general shift to mobile phones is only half the story. To truly understand the landscape, you must recognize that the world isn’t just mobile-first; it’s native-app-first. Users don’t just prefer native applications; they live inside them, creating an incredibly high standard for quality and performance. This isn’t a niche preference—the data shows it’s an overwhelming majority, with a massive 85% of mobile users preferring native apps over mobile websites. This is where they spend their time, with native apps commanding a staggering 70% of all digital media time.
This strong preference isn’t arbitrary. It’s rooted in the superior, seamless experience that only native applications can provide. Because they are built for a specific operating system, native apps are inherently faster, more responsive, and more reliable. This performance advantage translates directly into powerful business outcomes. For businesses, this is where the magic happens: conversion rates on native apps are often 3x higher than on mobile websites , and remarkably, 65% of all e-commerce sales are now driven through them.
This combination of preference and performance has created what is known as the “native expectation.” Users have been conditioned to expect a certain level of polish, speed, and flawless functionality. When an app fails to meet this high bar, the result is jarring, and forgiveness is in short supply. This is why thorough mobile application automation testing is not just a technical process but a crucial component of customer satisfaction and brand management
The Gauntlet: Why Native Mobile App Testing Is a Perfect Storm
While the “native expectation” creates a huge opportunity, delivering it requires navigating a gauntlet of technical challenges that are far more complex than those in web or desktop testing. This perfect storm of variables makes a comprehensive manual testing strategy not just impractical, but logistically impossible.
The single greatest challenge is device and OS fragmentation. The ecosystem is not one unified market, but thousands of micro-environments. Consider the mind-boggling reality of the Android market alone, which features over 24,000 distinct device models from different manufacturers—compared to only around 40 for iOS. Each of these devices can have a different screen size, resolution, hardware configuration, and OS version. Manually testing even a fraction of these is a futile effort, creating a scenario where achieving comprehensive coverage is practically impossible without automation.
Beyond the sheer number of devices, native apps present other deep-seated complexities. Effective mobile automation testing tools must account for:
Platform-Specific Interactions: iOS and Android have their own distinct design guidelines, gestures (swipes, pinches, long-presses), and navigation patterns. An app must be tested separately on each platform to ensure its UI and UX feel truly native and intuitive.
Hardware and Network Variables: Native apps integrate deeply with device hardware like cameras, GPS, and microphones. They must also perform flawlessly under a wide variety of network conditions, from high-speed Wi-Fi to spotty cellular data.
Rapid Release Cycles: In the world of Agile and CI/CD, updates are frequent. Running a full regression test with each new build is essential to ensure new features don’t break existing ones, and attempting this manually quickly becomes a severe bottleneck that grinds development to a halt.
This combination of fragmentation, deep integration, and the need for speed creates a testing matrix of exponential complexity. It’s a challenge that demands a smarter, more scalable approach.
The Intelligent Answer: Conquering Native App Challenges with Qyrus
The complexity of the native mobile ecosystem doesn’t have to be a roadblock. It’s a challenge that can be met with the right strategy and a smarter platform. Qyrus is a next-generation, AI-powered automation tool for mobile application testing designed specifically to overcome these hurdles, ensuring exceptional quality while accelerating your speed to market. It directly addresses the most painful aspects of native testing by mapping its intelligent features to your biggest challenges.
Challenge 1: Impossible Device Fragmentation
Qyrus Solution: The Qyrus Device Farm. Instantly test your application—manually or with automation—across a massive and diverse inventory of real Android and iOS devices. You can achieve comprehensive device coverage and eliminate the immense cost and effort of maintaining an in-house lab.
Challenge 2: Slow, Tedious Test Creation
Qyrus Solution: Mobile Automation & Rover AI. Use the intuitive Mobile Recorder to build complex automated test cases in minutes by simply recording your actions on a device. To go even faster, leverage Rover AI to visually scan your app, automatically identify UI and usability issues, and then seamlessly convert that entire analysis into a functional automation test with a single click.
Challenge 3: Brittle Tests and Constant Maintenance
Qyrus Solution: AI-Driven Script Correction. One of the biggest drains on resources is fixing tests that break due to minor UI changes. Qyrus’s AI automatically detects and corrects flaky scripts when elements shift or identifiers change, dramatically reducing the time your team spends on maintenance and allowing them to focus on creating new tests.
Challenge 4: Finding the Root Cause of Bugs
Qyrus Solution: Advanced Reporting. Go beyond a simple pass or fail. Every test run on the Qyrus platform generates a rich report including step-by-step screenshots, full video recordings, and detailed performance profiling (CPU, memory, network usage) to help your developers pinpoint the exact cause of any issue instantly.
Conclusion: Your App, Flawless
The verdict is clear. In a world where your business is defined by its mobile presence, and where 88% of users will leave after just one bad experience, quality is not negotiable. The sheer complexity and fragmentation of the native app ecosystem make traditional manual testing obsolete. The only path to success is a smart, strategic investment in automation.
By embracing a powerful, AI-driven platform like Qyrus, you are not just buying a testing tool; you are adopting a business strategy. It’s a strategy that protects your revenue, enhances your brand reputation, and empowers you to innovate faster and more confidently in the highly competitive mobile market.
Ready to give your mobile application the quality and speed boost it deserves? Explore the Qyrus mobile testing solution and see how our next-gen AI can transform your testing process.
It’s a frustratingly common story in the world of software development. Your highly skilled, expensive QA team is ready to get to work, but instead of testing, they’re spending a staggering 30-50% of their time just setting up test environments. This isn’t just a minor delay; it’s a critical bottleneck that results in approximately 74% of projects getting delayed. For organizations whose operations live and breathe on SAP, this problem is magnified tenfold.
The core challenge lies in effective SAP data testing as part of the overall SAP testing. SAP landscapes are intricate webs of interconnected modules and vast data volumes, making the task of creating realistic, compliant test data a monumental effort. The failure to manage this process effectively has predictable and painful consequences: project delays spiral into budget overruns, software quality suffers, and significant security vulnerabilities are left wide open.
This isn’t just an operational headache anymore. It has become a strategic imperative.
This post explores how a modern, automated approach to Test Data Management (TDM) can transform this critical challenge into your competitive advantage. We will unpack the real costs of outdated methods and introduce a new way forward with advanced SAP test data management tools like Qyrus DataChain, designed to cut through the complexity and deliver real results.
The Root of the Challenge: Why SAP Test Data Management is Uniquely Complex
To understand why so many resources are spent on SAP data testing, we first need to appreciate the platform’s unique nature. The problem isn’t just about handling large amounts of data; it’s about managing data that is vast, intricate, and deeply interconnected. This inherent complexity is the primary reason that manual approaches are no longer viable.
At their core, SAP systems manage enormous quantities of information, characterized by complex inter-relationships and dependencies between different modules and data objects. Generating representative test datasets that accurately reflect these complexities—without introducing redundant data—is a significant hurdle.
The most critical challenge is maintaining Data Consistency and Referential Integrity. Multiple SAP modules, such as finance, sales, and HR, are tightly linked. For a test process to be valid, the data must respect these connections. For example, a test of an “order-to-cash” cycle must preserve the referential links between customer records, sales orders, and financial documents to behave realistically. If the test data for a sales scenario lacks consistent master data in the finance module, tests are likely to fail for reasons unrelated to the function being tested, leading to “false positives” and wasted time.
This difficulty is compounded by the need for multiple testing environments. A typical SAP project requires several non-production systems for development, QA, UAT, and performance testing. Ensuring that test data is consistent and relevant across these diverse environments is vital for reliable outcomes. Manually refreshing these landscapes to keep the data realistic is a labor-intensive and disruptive process that often gets neglected, causing test environments to grow stale and unreliable.
These fundamental challenges—data volume, referential integrity, and environment synchronization—are why a strategic approach to sap test data management is no longer a luxury, but a necessity.
The Hidden Toll: Unpacking the Real Costs of Poor SAP Data Testing
An inadequate strategy for SAP data testing isn’t just an inconvenience that slows things down; it’s a constant drain on resources that silently chips away at your bottom line and exposes your organization to significant risk. The true cost manifests in tangible financial burdens, operational drag, and a growing list of compliance dangers.
The Financial Burden
When test data is a bottleneck, the financial repercussions are swift and severe. It is a primary contributor to the widely observed phenomenon where SAP implementation projects frequently exceed their initial budgets, with overruns of 40% to 60% being common. This is often compounded by the outdated practice of creating full copies of production systems for testing. This not only leads to bloated storage but also incurs ongoing maintenance costs that can be up to seven times higher than the initial cost of the storage capacity.
Beyond the direct costs, poor data management grinds productivity to a halt. Teams waste countless hours investigating “false positives”, bugs that aren’t real software defects but are simply the result of inconsistent or corrupt test data.
This problem is rooted in what can only be described as a referential integrity nightmare. A single, seemingly simple business process, like an “Order to Cash” scenario, triggers a cascade of corresponding data across completely different modules. A sales transaction in the Sales and Distribution (SD) module can create financial postings in Financial Accounting (FI) and inventory movements in Materials Management (MM). If the test data for this scenario lacks the corresponding data in FI or MM, the test will fail for reasons completely unrelated to the function being tested. Manually tracking and synchronizing this complex chain of data is an almost impossible, error-prone task.
The Compliance and Security Risk
In today’s regulatory landscape, the stakes for data privacy have never been higher. Protecting Personally Identifiable Information (PII) to comply with stringent regulations like GDPR and HIPAA is non-negotiable. Yet, a staggering survey found that only about 7% of companies were fully compliant with data privacy laws within their test environments.
This creates a breeding ground for “shadow data”—untracked or unmanaged sensitive data that proliferates across test systems. Breaches involving this specific type of data are even more costly, averaging an alarming USD 5.27 million. The message is clear: using the right SAP test data management tools is no longer optional for organizations that take security and compliance seriously.
The Path Forward: A Modern Approach to SAP Test Data Management
The solution to this complex data maze isn’t to work harder or hire more people to manage spreadsheets. The solution is to fundamentally change the approach. A modern strategy for SAP data testing hinges on automation—streamlining the entire process to eliminate manual effort, ensure data integrity, and provide data on demand. The goal is to empower testing teams, not to bury them in data preparation.
This is precisely why we are excited to introduce Qyrus DataChain.
Qyrus DataChain is a powerful solution designed specifically to streamline the entire process of test data creation for both SAP master data and business transaction processes. It was built from the ground up to directly address the core challenges of complexity, manual error, and the dependency on specialized system knowledge that plague traditional testing cycles. It represents a strategic shift, turning test data management from a bottleneck into an accelerator.
How Qyrus DataChain Works: From a Single Input to Test-Ready Data
Qyrus DataChain was designed for simplicity and power, replacing hours of painstaking manual work with a streamlined, automated workflow. It moves your team beyond error-prone spreadsheets by treating complex, related data as a single, manageable unit. Here’s how it transforms the process.
Step 1: Seamless Data Extraction
Everything starts with a single piece of information. The user simply provides one document or transaction number—like a sales order number, for instance—as the starting point. There is no need to manually hunt down every related document; this one input is all the tool needs to begin.
Step 2: Automated Transaction Mapping
This is where magic happens. Once the initial transaction number is provided, Qyrus DataChain automatically scans your SAP system to identify and map every single linked transaction. It intelligently follows the entire document trail, finding the associated quotation, the follow-on delivery, the final billing document, and the corresponding accounting entries. This automated mapping finally solves the “referential integrity nightmare,” ensuring that the entire end-to-end process data is captured accurately and completely.
Step 3: Comprehensive Data Generation
With all the linked transactions identified, the tool automatically extracts the relevant data from each step. This information is then instantly compiled into a single, structured file that is synchronized, traceable, and ready to be used for testing. This eliminates the need for manual data collection and spreadsheet maintenance, which is not only time-consuming but a primary source of errors and inconsistencies.
Step 4: Extensive Coverage
This powerful capability isn’t limited to just one business scenario. As one of the most versatile SAP test data management tools available, DataChain works across all common SAP transactions. This includes Inquiry, Quotation, Purchase Requisition, Quality Notifications, Accounting, and Material Movement, ensuring broad applicability for your most critical testing needs.
The Measurable Impact: The ROI of Automated SAP Data Testing
Adopting a modern approach with advanced SAP test data management tools isn’t a leap of faith; it’s a strategic investment that delivers substantial and quantifiable returns across cost, speed, and quality. The statistics from industry reports paint a compelling picture of the transformation.
Dramatically Reduce Time and Costs
By automating the most labor-intensive parts of the testing process, organizations see an immediate and significant reduction in wasted time and expense.
Faster Data Creation & Refreshes: Some organizations have achieved up to 92% faster test data creation and have accelerated their data refresh processes by as much as 90%.
Accelerated Testing Cycles: On average, the time required to complete testing cycles can be reduced by 51%.
Infrastructure & Hardware Savings: By creating lean, relevant data subsets instead of full copies, companies have reported reducing SAP HANA infrastructure costs by up to 70% and cutting S/4HANA hardware costs by up to 80%.
Ensure Complete Coverage and Enhance Quality
Automating data extraction and generation eliminates the primary source of testing issues: human error. This leads to higher quality data, which in turn leads to higher quality software.
Minimize Manual Errors: By removing error-prone spreadsheet maintenance and manual data collection, the risk of data inconsistencies is virtually eliminated, leading to more reliable testing.
Improve Defect Detection: Better data leads to better testing. One case study demonstrated a 70% improvement in test data coverage, which allowed the team to find more defects earlier.
Reduce Defect Leakage: Finding defects before they reach production is crucial. A notable case study at Yorkshire Water showed that implementing a modern TDM strategy resulted in the average defect leakage per release decreasing dramatically from 2.19 to just 0.67.
Accelerate Overall Project Delivery
The cumulative effect of these efficiencies is a significant acceleration in the entire software development lifecycle.
Impressive ROI: The financial returns on a mature SAP data testing strategy can be extraordinary. Organizations using Tricentis SAP testing solutions, which rely on effective TDM, have reported an average three-year ROI of 576%, demonstrating that this is an investment that pays for itself many times over.
Real-World Results with Qyrus: A Case Study
These industry statistics are powerfully demonstrated in a real-world scenario. A global automobile manufacturer was struggling with slow, resource-intensive manual testing for its critical SAP S/4HANA business processes. By implementing the Qyrus platform for SAP testing, which combines codeless automation with powerful test data management, the company achieved transformative results:
Overall testing effort was slashed by 88%.
Regression testing time was reduced by a staggering 92%.
Test execution time for critical Order-to-Cash and Procure-to-Pay cycles plummeted from 40 hours to just 5 hours.
100% test automation coverage was achieved for the processes in scope.
This case study showcases how leveraging a holistic platform that excels at SAP data testing can turn impressive industry statistics into a reality for your organization.
From Bottleneck to Business Accelerator: Redefine Your TDM Strategy
In today’s fast-paced digital enterprise, inefficient and manual processes are a significant liability. As we’ve seen, clinging to outdated methods for SAP data testing is not just slowing you down—it’s actively costing you money, exposing you to risk, and preventing your teams from delivering their best work. The data is clear: the hidden costs of poor test data management are too high to ignore.
By embracing a modern, automated approach with powerful sap test data management tools like Qyrus DataChain, you can fundamentally change this dynamic. You can transform Test Data Management from a painful bottleneck into a powerful catalyst for innovation and operational excellence. It’s time to move beyond the limitations of spreadsheets and empower your teams with the accurate, complete, and instantly available data they need to build better software, faster.
Take the Next Step
Ready to see how Qyrus DataChain can make a substantial difference in your SAP testing processes? We would love to schedule a brief demo to show you how our SAP Testing solution can directly benefit your team.
Schedule Your Qyrus DataChain Demo Today
The dust has just settled from Apple’s Worldwide Developers Conference (WWDC), and the entire tech world is buzzing about one thing: iOS 26. This isn’t just another annual update. Apple has officially unveiled what many are calling the most significant redesign of the iPhone operating system since iOS 7, marking a revolutionary new chapter for the user experience. From a groundbreaking visual overhaul to a massive leap in AI capabilities, iOS 26 is set to redefine how we interact with our most personal devices.
The developer beta is officially out, and the race is on for development teams to prepare their applications for a public release expected this September. In this crucial early phase, having access to a reliable testing environment is paramount. That’s why we are incredibly excited to make a major announcement of our own.
Qyrus is proud to be the first test automation solution to provide full support for the new iOS 26 beta.
We believe in empowering developers to stay ahead of the curve. This blog post will explore the most exciting iOS 26 features and demonstrate how you can start testing them today with Qyrus, ensuring your app is not just compatible, but truly shines on this next-generation OS.
A Glimpse into the Future: Exploring the Key iOS 26 Features
Before we discuss testing, it’s essential to understand the magnitude of change in the iOS 26 beta. This update is packed with foundational shifts and exciting new functionalities.
First, you might be wondering why Apple skipped from iOS 18 to iOS 26. In a major strategy shift, Apple has changed its naming convention to align all its operating systems under a unified numbering scheme reflecting the year of use. This brings us iOS 26, iPadOS 26, and macOS 26, all designed for the 2026 software cycle.
Now, let’s look at the groundbreaking iOS 26 features that developers need to prepare for:
The “Liquid Glass” Design Language: This is the centerpiece of iOS 26, representing the first major visual redesign since iOS 7. Interface elements now behave like translucent glass, with properties like refraction and specular highlights that respond dynamically to device movement. This new design creates an enhanced sense of depth and motion and extends across the entire system, from a more transparent Control Center to an edge-to-edge Browse experience in Safari.
A Leap in Apple Intelligence: iOS 26 significantly expands Apple’s AI capabilities.
Live Translation provides real-time translation of text and audio conversations directly in Messages, FaceTime, and Phone calls, all processed privately on-device.
Enhanced Visual Intelligence now works on screenshots, allowing you to ask ChatGPT questions about screen content or search for similar images and products on supported apps like Google or Etsy.
Revolutionized Phone and Messages Features: Daily communication gets a massive upgrade.
Call Screening lets your iPhone automatically answer calls from unknown numbers to ask for the caller’s name and purpose before you decide to answer.
Hold Assist monitors calls for you when you’re on hold and notifies you the moment a live agent becomes available, saving you from waiting endlessly by the phone.
The Apple Games App: iOS 26 introduces a new, dedicated Apple Games hub. This app serves as a central destination for all gaming activities, unifying access to installed games, Apple Arcade, multiplayer sections, leaderboards, and Game Center achievements.
These are just a few of the many foundational changes in iOS 26. The sheer scope of this update, from its visual core to its AI-powered features, underscores the critical need for early and thorough testing.
Don’t Wait for September: Why Testing on the iOS 26 Beta is Business-Critical
With a public release expected in mid-September 2025, it might seem like there’s plenty of time. However, the sheer magnitude of the changes in the iOS 26 beta makes early, rigorous testing a non-negotiable for any serious development team. Waiting could mean scrambling to fix major issues just before launch.
Here’s why you must start testing your applications on the iOS 26 beta immediately:
Adapt to the “Liquid Glass” Revolution: This isn’t just a new coat of paint; it’s a fundamental shift in UI philosophy. The new translucent and refractive materials of the “Liquid Glass” design can directly impact the readability and visual integrity of your app’s interface. Early testing is the only way to catch visual bugs, ensure your custom UI elements don’t clash with the new aesthetic, and guarantee a seamless visual experience for your users.
Validate New API and Framework Integrations: iOS 26 introduces powerful new frameworks for developers, like the Foundation Models Framework that allows apps to integrate Apple Intelligence features with just a few lines of code. To leverage these new capabilities, you need to test the integrations now, ensuring they perform correctly and add real value to your application.
Mitigate Core Functionality Risks: An update of this scale, described as Apple’s most ambitious software redesign in over a decade, inevitably introduces the risk of breaking existing features. Running your full regression test suites now on the iOS 26 beta is crucial to identify and fix any critical bugs that could disrupt your app’s core functionality.
Secure a Competitive Advantage: The public release in September is a hard deadline. Teams that start testing now will be prepared to launch fully compatible, optimized, and potentially feature-rich updates the day iOS 26 becomes available. This readiness is a powerful differentiator in a competitive market.
In short, proactive testing on the iOS 26 beta allows you to move from a reactive, last-minute rush to a strategic, confident launch plan.
Leading the Market, Not Following It
In a moment of significant technological change, speed and reliability are what matter most. Responding to the critical need for early testing, we are immensely proud to announce a major milestone: Qyrus is the first test automation platform to offer full support for the new iOS 26 beta.
This isn’t by accident. It’s a direct result of our commitment to providing development teams with the tools they need to innovate without boundaries. This immediate support is powered by the Qyrus Device Farm, our robust infrastructure designed for streamlined, secure, and comprehensive testing. We provide on-demand access to real mobile devices, ensuring your testing reflects real-world usage. Our entire test cloud is ISO 27001/SOC 2 compliant, giving you class-leading security, and we stand by our 99.9% real device availability promise.
To facilitate deep and thorough testing of the iOS 26 beta, we offer extensive capabilities, including being the only company to provide dedicated devices for your specific testing needs. This allows you to conduct focused, uninterrupted validation. You can further tweak your test scripts with advanced features like network throttling, biometrics (beta), and seamless CI integration to simulate a wide range of conditions your users might face.
Our device farm is already being equipped with the specific hardware required to run iOS 26. Apple has confirmed that the iOS 26 beta supports iPhone 11 and newer models, officially ending support for the iPhone XR, iPhone XS, and iPhone XS Max. The full list of compatible devices you can expect to find on our platform includes:
iPhone 16, 15, 14, 13, 12, and 11 series (all models)
iPhone SE (2nd and 3rd generation)
It is important to acknowledge the nature of this software. The iOS 26 beta is a pre-release version, and the OS itself is subject to change and potential instability. That is precisely why early access to a secure, stable, and highly available testing environment like Qyrus is so valuable. We provide the reliable infrastructure to navigate the beta phase, identify issues, and validate your app’s performance with confidence.
Testing the New iOS 26 Features: Practical Use Cases with Qyrus
Understanding the new iOS 26 features is the first step; validating your app against them is the next. As the first automation platform to support the iOS 26 beta, Qyrus provides the tools you need to tackle these unique testing challenges head-on. Here are some practical use cases for how you can use Qyrus today:
Validating the “Liquid Glass” UI: The new “Liquid Glass” design is a complete visual overhaul with translucent materials that create unprecedented depth and motion. This is where visual testing becomes essential.
Qyrus in Action: Use Qyrus’s visual regression testing to capture baseline screenshots of your app on a current OS and compare them against its appearance on the iOS 26 beta. This will instantly highlight any unintended layout shifts, broken elements, or readability issues caused by the new refractive and transparent interface components. Automate user journeys to ensure your custom UI remains crisp and functional against the new dynamic backgrounds.
Testing Apple Intelligence Integrations: iOS 26 introduces powerful on-device AI, including Live Translation in calls and messages and Enhanced Visual Intelligence that can analyze screen content.
Qyrus in Action: Automate UI tests to verify that these new AI-driven features integrate cleanly with your app. For example, you can create a test that takes a screenshot within your app and validates that the new Visual Intelligence contextual menu appears and functions as expected without disrupting your app’s interface.
Ensuring Compatibility with New Communication Features: Game-changing features like AI-powered Call Screening and Hold Assist will alter how the OS manages phone calls. While testing the core OS feature is Apple’s job, you need to ensure your app doesn’t break when they are active.
Qyrus in Action: Design tests that check your app’s stability and UI integrity while a call is in one of these new states. For example, does your app’s UI remain stable and responsive in the background while Hold Assist is active? Does your app correctly handle contacts that are now filtered by the new Unknown Sender Screening in Messages?
Verifying Integration with the Apple Games App: The new, dedicated Apple Games app acts as a central hub for all gaming activities.
Qyrus in Action: Automate test workflows that launch your game from the new Apple Games app. You can then run scripts that verify achievements, scores, and leaderboards are correctly reported back and displayed within the hub’s interface, ensuring a seamless experience for gamers.
Executing Full Regression on the iOS 26 Beta: Above all, a major OS update of this scale—the most ambitious in over a decade —requires comprehensive regression testing.
Qyrus in Action: Run your entire existing test suite on real iPhones running the iOS 26 beta in the Qyrus Device Farm. This is the most effective way to catch critical bugs in your app’s core functionalities before the public release in September.
By leveraging these use cases, you can move beyond basic compatibility checks and ensure your app is truly optimized for the revolutionary experience iOS 26 promises to deliver.
Get Ahead of the Curve: Start Your iOS 26 Beta Testing Today
With a developer beta currently available and a public release slated for mid-September 2025, the time to act is now. Being the first automation platform to support the iOS 26 beta, Qyrus makes it simple to begin your essential mobile app testing and validation cycles.
Here’s how you can get started on the Qyrus platform:
Access Our Real Device Farm:Log in to the Qyrus platform and navigate to our extensive mobile device farm. As the only company providing dedicated devices for testing, you can ensure a focused and stable environment.
Select Your iOS 26 Beta Device: Browse the available iPhones that are compatible with iOS 26, such as the iPhone 11 series or newer. Select a device running the new iOS 26 beta to begin your session.
Upload and Test: Upload your application’s build file (.ipa) and start executing your test cases. You can run your existing regression suites to check for compatibility or build new tests to validate the exciting new iOS 26 features.
Don’t let the public release date sneak up on you. Being prepared means starting today.
Take the next step to future-proof your application. Contact our team to schedule a personalized demo or start a trial to see how Qyrus can accelerate your iOS 26 beta testing and ensure you’re ready for launch day.
Be First, Be Ready
The launch of the iOS 26 beta marks a pivotal moment for the mobile landscape. This is not a simple incremental update; it is a revolutionary leap forward, representing Apple’s most ambitious software redesign in over a decade. From the foundational shift of the “Liquid Glass” design to the deep integration of Apple Intelligence, iOS 26 will fundamentally change user expectations.
In this new environment, waiting is not an option. Proactive, early, and thorough testing is the only way to ensure your application is ready to thrive.
As the first automation platform to provide support for the iOS 26 beta, Qyrus offers you a critical head start. We remove the environmental barriers, giving you immediate access to a secure, real-device testing platform so you can focus on what truly matters: ensuring your app delivers a flawless and innovative experience from day one. Embrace the future of iOS with confidence and a trusted partner by your side.
To know more about our mobile testing capabilities and get a personalized demo, please contact us.
SAP. The very name evokes images of comprehensive business solutions, a digital backbone powering the world’s largest enterprises. It’s a sprawling empire, underpinning critical business processes from finance and supply chain to sales and human resources for countless organizations. In fact, an astounding 77% of global transactions touch an SAP system, and over 400,000 companies worldwide rely on these solutions for their core operations. Think about that for a moment. The vast majority of the world’s commerce, the distribution of 78% of the world’s food and 82% of its medical devices, all flows through SAP systems. This incredible reach, while a testament to SAP’s power, also presents a monumental challenge for quality assurance teams. How do you even begin to test something so vast, so interconnected? The sheer scale can easily make testing feel like an insurmountable task, leaving teams feeling overwhelmed before they even start.
For those on the front lines of SAP quality assurance, the daily reality is often a complex matrix of difficult decisions. The primary struggle? Pinpointing what absolutely, critically needs to be tested amidst millions of potential scenarios. Then comes the automation question: which areas are genuinely ripe for automation to yield the best return, and which will just lead to maintenance nightmares? And perhaps one of the most persistent headaches is accurately analyzing the true impact of frequent releases, updates, and customizations. Even a seemingly minor change in one module can send ripples across the entire integrated landscape, from sales and distribution to materials management and finance. Many organizations find themselves wrestling with these challenges, leading to inefficiencies and, more critically, potential risks.
The traditional, often manual, approach of trying to test “everything” is not just inefficient; but in the complex world of SAP, it’s practically impossible and economically unviable. Manual testing alone can devour 30% or more of an SAP project’s budget. Clearly, a shift is needed. It’s time to move beyond brute-force tactics and chart a course for a more intelligent, strategic, and ultimately more effective SAP S/4HANA testing approach. The goal isn’t just to test more, but to test smarter, focusing efforts where they deliver the most value and mitigate the highest risks. This is where a well-defined strategy becomes not just helpful, but absolutely essential for success.
Introducing the “3 Cs”: A Framework for Focused SAP Testing
To truly start optimizing SAP S/4HANA testing, we need a guiding philosophy, a framework that cuts through the noise and directs our attention to what genuinely matters. Enter the “3 Cs”—a powerful lens through which to view your SAP landscape and prioritize your testing efforts with intelligence and precision.
The Three Pillars of Smart SAP Testing: Critical, Complex, and Changing
The “3 Cs” provide a simple yet profound way to categorize and understand different aspects of your SAP environment:
Critical: This pillar focuses on identifying those business processes and transactions that are absolutely vital to your organization’s survival and success. Think about your core financial operations where errors could lead to significant financial misstatements or compliance breaches. Consider customer-facing processes where a glitch could directly impact revenue and reputation, or supply chain activities where downtime can cause huge disruptions. SAP systems often underpin these very core functions, and the financial stakes of failure are enormous, with unplanned SAP downtime potentially costing organizations hundreds of thousands, or even millions, per hour. Identifying these critical pathways is the first step in a resilient SAP S/4HANA testing approach.
Complex: SAP landscapes are inherently intricate, often featuring multiple interconnected modules like FICO, SD, and MM, along with extensive customizations. Each organization’s SAP setup is frequently tailored to its unique needs, with customization levels varying significantly across modules—FI (Financial Accounting) might see 30% customization, while BI/BW (Business Intelligence/Business Warehouse) could reach 60%. This pillar helps you understand transactions and processes characterized by high intricacy. This could involve numerous steps, multi-system integrations (including bespoke code and third-party add-ons), or complex custom development that standard scripts simply can’t cover. These complex areas are often where hidden defects lie.
Changing: The digital world is in constant motion, and SAP systems are no exception. This pillar directs your focus to areas of your SAP environment that are dynamic and volatile. This includes functionalities undergoing recent modifications, planned updates, or frequent patches, such as those common with SAP S/4HANA cloud editions that may release quarterly updates. Continuous testing becomes necessary to ensure that these regular updates do not disrupt existing SAP functionalities. Keeping a close eye on these changing elements is crucial for effective regression testing and ensuring stability.
From Volume to Value: The Strategic Impact of the “3 Cs”
Adopting the “3 Cs” framework fundamentally shifts your testing paradigm. Instead of attempting the impossible task of “testing everything,” you transition to a strategic, risk-based methodology. This is where the real value in optimizing SAP S/4HANA testing emerges.
This focused approach enables far more efficient resource allocation. By understanding what is critical to the business, complex in its structure, and frequently changing, you can direct your valuable testing resources—both human and technological—to the areas where they will have the most impact. This means prioritizing test cases that cover high-risk functionalities, ensuring that your most critical operations are robust, your most complex interactions are verified, and your most recent changes haven’t introduced instability. It’s about moving from a mindset of sheer volume to one of strategic value, ensuring your SAP S/4HANA testing approach is both efficient and highly effective in safeguarding your business operations.
Bringing the “3 Cs” to Life: The Qyrus Methodology
Understanding the “3 Cs” is the foundational step; operationalizing this framework is where the real transformation in your SAP S/4HANA testing approach begins. This is precisely where Qyrus steps in, offering a suite of intelligent modules designed to dissect your SAP landscape through the lens of Criticality, Complexity, and Change, thereby truly optimizing SAP S/4HANA testing efforts.
Spotlighting the Essentials: Qyrus Business Analysis for Criticality and Change
To zero in on what’s “Critical” and what’s “Changing” within your daily operations, Qyrus Business Analysis offers a powerful arsenal of analytical tools. It equips users with insightful charts and tables that illuminate T-code (transaction code) usage, data activity, user behavior, and frequently changed transactions. Imagine being able to clearly see which SAP modules are most frequently used, distinguishing between Master and Business data activity.
This module doesn’t just present data; it provides deep insights that allow you to pinpoint business-critical areas based on actual system usage and identify evolving functionalities by tracking frequently used and altered transactions. By understanding these dynamics, you can confidently identify which parts of your SAP system are absolutely critical to test and which are undergoing significant change, directly informing users of a smarter testing strategy.
Navigating Development Dynamics: Qyrus Workbench Insights for Complexity and Flux
The “Complex” and “Changing” aspects often stem from ongoing development activities within your SAP system. Qyrus Workbench Insights is tailored to shed light on these very elements. This module typically focuses on development changes, such as the creation of new programs, tables, or enhancements. These are often system-wide modifications that necessitate transport requests, clearly flagging them as areas of active change and potential complexity.
A key feature here is the ImpactAnalyzer, a tool designed to help identify and analyze the impact of such changes within the SAP system. By leveraging Workbench Insights, your team gains a clearer understanding of what new developments are occurring, how frequently objects are being changed by developers, and crucially, the potential ripple effects of these modifications, allowing you to proactively address areas of induced complexity and recent change.
Mastering Configuration Nuances: Qyrus Customization Insights for Evolving Complexity
Beyond code development, SAP systems are heavily shaped by “Changing” configurations and the “Complexity” these customizations introduce. Qyrus Customization Insights provides essential visibility into this domain. It focuses on configuration changes, such as setting up company codes or altering business process settings, which are typically managed through customizing requests. Qyrus allows you to track these modifications, offering clarity on what’s modifiable versus what has been released, and even presenting trends in system customizations over selected periods. Furthermore, by highlighting the top 5 business customizations and detailing user-wise customization activities, this module helps you understand not just what is changing, but also which specific business needs are driving these customizations and potentially adding layers of unique complexity to your SAP environment. This granular view is invaluable for a targeted SAP S/4HANA testing approach.
The Qyrus Transformation: From SAP Chaos to Testing Clarity and Confidence
Implementing the “3 Cs” framework through Qyrus isn’t just a theoretical exercise; it’s a practical pathway to transform your SAP testing from a source of stress into a pillar of strength and confidence. By leveraging the deep insights gleaned from its specialized modules, Qyrus empowers organizations to move beyond reactive problem-solving to proactive risk management, truly optimizing SAP S/4HANA testing outcomes.
Cutting Through the Clutter: Pinpoint Prioritization with Qyrus
One of the most immediate and significant benefits of adopting the Qyrus methodology is the newfound ability to prioritize testing efforts with surgical precision. Qyrus’s Test Strategy Module, inherently driven by the “3 Cs,” empowers your QA teams to make informed, data-backed decisions, ensuring that focus is squarely placed on high-risk and high-impact areas first. Imagine having a consolidated view where insights from Qyrus Business Analysis clearly flag “Critical” processes based on actual usage and highlight “Usage Changes”.
Simultaneously, Qyrus Workbench Insights brings “Development Changes” and associated “Complexity” to the forefront, while Qyrus Customization Insights reveals “Configuration Changes”. This integrated intelligence allows you to cut through the clutter of an expansive SAP landscape, ensuring that your most valuable testing resources are directed where they matter most, a cornerstone of an effective SAP S/4HANA testing approach.
Intelligent Automation, Real Results: Qyrus’s Blueprint for SAP Test Automation
While the benefits of SAP test automation are well-documented, with organizations reporting an 85% reduction in testing efforts, the challenge often lies in knowing what and how to automate effectively within complex SAP environments. Many organizations struggle with SAP automation, reports indicate that around 72% of companies still depend on manual testing to validate critical SAP processes, and only about 25% have largely automated their SAP testing. Qyrus fuels a smarter automation strategy by providing clear, actionable metrics on criticality, complexity, and change frequency derived directly from its Business Analysis, Workbench Insights, and Customization Insights sub-modules.
This data-driven approach helps identify the most suitable candidates for automation – those that are critical, frequently used, complex, or prone to change. Furthermore, Qyrus enhances this by offering capabilities to intelligently filter your existing test repositories, whether they are Automated Regression Suites (ARS), Core Qyrus tests, or Smoke tests, based on these dynamic insights. This ensures your automation efforts are not just expansive but also highly relevant and efficient.
De-risking Releases: Qyrus for Proactive SAP Impact Analysis
A major source of anxiety in SAP operations is the uncertainty surrounding new releases and updates. Qyrus helps transform this uncertainty into confidence through proactive impact analysis. Qyrus Workbench Insights, for example, features an Impact Analyzer that is instrumental in identifying and analyzing the potential ripple effects of development changes before they are deployed. Imagine being able to see how a specific transport request might affect various objects and programs.
Insights into frequently changed objects, the top 5 workbench customizations (like PROG, SUSH, TABL), and even user-specific workbench activities allow your teams to anticipate potential issues and mitigate risks proactively. Coupled with visibility into customization trends from Qyrus Customization Insights, you gain a much clearer picture of what’s changing and what the potential consequences are, a vital component for optimizing SAP S/4HANA testing and ensuring smoother, de-risked releases.
The Qyrus Advantage
Ultimately, the Qyrus transformation culminates in a significant competitive edge: The Qyrus Advantage. By harnessing the integrated intelligence of its platform and the precision of the “3 Cs” framework, organizations achieve a marked reduction in wasted effort, moving away from costly manual processes that can consume over 30% of project budgets. This strategic focus inherently improves test coverage on what truly matters, ensuring critical business functions are robustly validated.
The result is demonstrably faster release cycles through such optimized approaches. Most importantly, this leads to minimized business risk, evidenced by significant reductions in production errors and a more resilient SAPS/4HANA testing approach that safeguards your core operations, all facilitated by the comprehensive, data-driven Qyrus platform.
Fine-Tuning Your SAP Test Strategy with Qyrus’s Intelligent UI
Having a robust framework like the “3 Cs” is crucial, but the ability to dynamically apply and refine it is what truly elevates your SAP S/4HANA testing approach. Qyrus bridges this gap with an intelligent and interactive user interface, specifically designed to put you in control and enable a highly tailored strategy for optimizing SAP S/4HANA testing.
The Command Center: Qyrus’s UI for Strategic SAP Test Design
Think of Qyrus’s Test Strategy Customization Screen as your central command center. This powerful, yet remarkably user-friendly interface is where the “3 Cs” framework comes alive, allowing you to move from theoretical understanding to practical application. It’s designed to empower users to fine-tune numerous parameters, effectively translating your strategic priorities into actionable criteria that guide the entire test selection process. This screen provides a transparent and interactive way to define exactly what criticality, complexity, and change mean for your specific SAP landscape and testing goals.
Dialing in Precision: Granular Controls in the Qyrus Test Strategy UI
Qyrus offers an impressive level of granular control, allowing you to meticulously define your testing priorities:
3C’s Parameter Controls: You have direct influence over how each ‘C’ is weighted.
For Criticality, adjust sliders for minimum score thresholds (typically on a 1-10 scale) and select specific aspects such as “Financial Impact,” “Customer Facing,” or “Compliance Related” to ensure these areas are prioritized.
For Complexity, similar slides for minimum scores can be set, along with options to specifically include elements like “Multi-System Integration” or “Custom Development” which inherently add layers of intricacy.
For Change, again, sliders can define minimum change scores, and you can flag “Recent Modifications” or “Planned Changes” to ensure these volatile areas receive due attention.
Impact Analysis Parameters: Beyond the “3 Cs,” Qyrus allows you to factor in the broader impact of potential issues.
An “Impact Score Threshold” slide (e.g., 1-100) helps filter based on the severity of potential impact.
“Dependency Depth” controls allow you to define how far upstream or downstream the analysis should consider related processes, ensuring a comprehensive view of potential knock-on effects.
These detailed controls ensure that the subsequent test selection aligns perfectly with your nuanced understanding of risk and business priorities.
Intelligent Execution: AI-Driven Test Selection with Qyrus
The true power of these granular settings is unleashed when Qyrus’s AI engine gets to work. The parameters you define directly fuel an intelligent, AI-powered test selection process from your existing test repositories.
Filtered Test Selection: You can specify which types of tests the AI should consider, with checkboxes for your Automated Regression Suite (ARS), Core Qyrus testing (covering Web, API, Mobile, Desktop, Data), and dedicated Smoke Tests.
Real-Time Visibility: As you apply these filters, the Qyrus interface provides instant feedback.
A “Selected Transaction Codes & Business Processes” table dynamically updates, showing precisely which codes and processes match your criteria, along with their “3C’s” tags (often color-coded for easy identification) and an overall impact score.
The “AI-Selected Tests Section” then populates with the specific test cases chosen by the AI. This includes key performance metrics like the total number of tests selected, estimated test coverage percentage, and projected runtime. You’ll see a table detailing each selected test case (ID, description, test type with visual indicators, and the related transaction/process).
Smart Logic at Work: The AI prioritizes transaction codes with higher criticality, complexity, or change scores. It intelligently matches tests to business processes and transaction codes, optimizing comprehensive coverage while minimizing redundancy. The estimated runtime also gives you a practical understanding of the testing effort required.
This seamless integration of user-defined strategy with AI-driven execution, visualized clearly on a single screen, offers a sophisticated yet simple way to ensure your testing is both targeted and efficient, truly optimizing your SAP S/4HANA testing efforts.
Conclusion: Conquer SAP Testing Complexity with Qyrus
The journey through the SAP testing labyrinth, with its sheer scale—where 77% of global transactions flow through SAP systems and downtime can cost an average of $336,000 per hour —can indeed feel overwhelming. Traditional testing methods often buckle under this pressure, proving inefficient and economically draining. However, as we’ve explored, a path to clarity and control exists. The strategic “3 Cs” framework—focusing on what’s Critical, Complex, and Changing—provides the guiding principles needed to navigate this intricate environment, and Qyrus expertly brings this framework to life.
Qyrus’ comprehensive Test Strategy Module stands as the definitive solution for truly optimizing SAP S/4HANA testing. By seamlessly integrating the deep analytical power of its Business Analysis, Workbench Insights, and Customization Insights sub-modules, Qyrus provides unparalleled visibility into your SAP landscape. This is further amplified by its intelligent Test Strategy Customization UI, which empowers you to meticulously fine-tune your SAP S/4HANA testing approach based on these “3 Cs” and precise impact parameters, driving AI-powered test selection.
If the challenges of SAP testing complexity, inefficient resource allocation, and release uncertainty resonate with your experience, it’s time to explore a smarter path. Don’t let your SAP testing efforts remain a source of apprehension. We urge you to learn more about how Qyrus can revolutionize your approach. Take the next step towards clarity, confidence, and control.
Request a personalized demo of the Qyrus SAP Testing solution today and witness firsthand how the power of the “3 Cs,” combined with our intelligent platform, can transform your SAP testing from a monumental hurdle into a strategic advantage.
The landscape of enterprise mobility is booming, fundamentally changing how we work and interact with technology. Globally, over half the world’s population now owns a smartphone, a trend that underscores the increasing importance of mobile devices in our daily lives. In the U.S. alone, smartphone penetration is remarkably high, with approximately 91% of adults owning one in 2024. This widespread adoption fuels a massive investment in mobile applications; the global enterprise application market, encompassing mobile, reached approximately US$238 billion in 2020, and is expected to reach at about US$527.40 billion by 2030.
Within this dynamic web and mobile environment, businesses face a critical decision: whether to develop native applications or web apps. This choice carries significant implications for performance, user engagement, and overall success. While web apps offer certain advantages, this blog post will demonstrate why native apps, with their inherent strengths, remain crucial for delivering optimal mobile experiences. We’ll explore the key dimensions that set native applications apart, backing up our analysis with relevant statistics and industry insights.
Native vs. Web: Defining the Mobile Application Landscape
Before we delve deeper into the advantages of native applications, it’s crucial to establish a clear understanding of what differentiates them from their web-based counterparts.
Native Apps:
At their core, native applications are software programs meticulously crafted to operate on a specific mobile operating system. This means a native app built for iOS, Apple’s operating system, won’t run on Android devices, and vice-versa. Developers use the platform’s native programming languages and tools; for instance, Swift or Objective-C for iOS, and Kotlin or Java for Android.
The result is an application tightly integrated with the device’s hardware and software, delivering optimal performance and a truly native user experience. Native apps are distributed through and installed directly from app stores like Apple’s App Store or the Google Play Store.
Web Apps:
In contrast, web apps are not tied to a specific operating system. They are accessed through the mobile device’s web browser, much like any other website. These applications are built using standard web technologies such as HTML, CSS, and JavaScript. Responsive web design techniques enable web apps to adapt their layout and appearance to various screen sizes, ensuring a degree of usability across different devices. While web apps offer cross-platform accessibility, it’s important to recognize that they operate within the browser environment, which can introduce limitations and compromise the end user experience.
It’s also worth mentioning Progressive Web Apps (PWAs). PWAs represent a more advanced evolution of web apps, incorporating features that blur the lines with native app functionality. PWAs can offer offline access and push notifications, providing an enhanced user experience. However, even PWAs fundamentally run within a browser “wrapper” and may not achieve the same level of performance and device integration as a true native application.
The Need for Speed: Native Apps and the Performance Edge
When it comes to mobile applications, performance is a critical battleground. Users demand instantaneous responses, smooth transitions, and overall efficiency. In this arena, native applications consistently demonstrate a compelling advantage.
Native apps are purpose-built and compiled to execute directly on the device’s operating system, whether it’s iOS or Android. This close-to-the-metal approach allows them to harness the full power of the device’s CPU and GPU, resulting in optimized performance. Factors like faster load times (expected within 2 seconds), fluid animations, and highly responsive interactions are hallmarks of well-crafted native applications. For resource-intensive tasks such as complex calculations, 3D rendering, or real-time data processing, the performance edge of native applications becomes even more pronounced.
Web apps, in contrast, operate within the mobile browser environment. They rely on web technologies like HTML, CSS, and JavaScript, which must be interpreted and rendered by the browser. This introduces an extra layer of processing, often leading to slower performance and a less responsive user experience, especially under fluctuating or poor network conditions. This performance disparity can have tangible consequences; slow apps can frustrate users and decrease productivity. In fact, studies indicate that users expect apps to load within mere seconds, and failing to meet this expectation can lead to abandonment. Native applications, optimized for speed and efficiency, are better positioned to satisfy these demanding user expectations. Furthermore, research indicates that native apps generally consume less energy and utilize device resources more effectively than web apps, contributing to improved battery life and smoother overall device operation.
Engagement Elevated: The UX Power of Native Apps
Performance is only one piece of the puzzle; user experience (UX) and user interface (UI) are paramount in the competitive mobile landscape; they can significantly influence user engagement and satisfaction. In this critical area, native applications provide distinct advantages.
Because native applications are specifically designed and developed for a particular mobile operating system, they adhere to that platform’s established design guidelines and UI conventions. This platform-specific design creates a sense of familiarity and consistency, making the application feel intuitive, natural, and easy to navigate for the user. Users are accustomed to the look and feel of their operating system, and native apps seamlessly integrate with these expectations. Consider the smooth animations, fluid transitions, and highly responsive interactions that characterize well-designed native apps; these elements contribute substantially to a polished and engaging user experience.
Moreover, native apps possess a greater capacity to leverage device-specific features and hardware. Whether it’s accessing the device’s camera, utilizing GPS for location-based services, integrating with biometric authentication, or employing push notifications for timely updates, native applications can tap into the full potential of the mobile device. This deep integration enables richer, more interactive, and more context-aware experiences than are typically achievable with web apps.
The impact of this superior UX and feature integration is clearly reflected in user behavior and engagement metrics. Statistics consistently demonstrate that a high percentage of mobile internet usage occurs within native applications, with some studies indicating nearly 90% of mobile internet time is spent in apps. Mobile apps also exhibit substantially higher conversion rates compared to web apps, with reports showing rates as much as 157% higher, underscoring their effectiveness in driving desired user actions and achieving business objectives. Furthermore, users spend significantly more time engaged with native mobile apps compared to web applications, highlighting the superior engagement they offer. In the competitive web and mobile landscape, this enhanced engagement and user preference represent a crucial differentiator.
Unlocking Device Potential: Native Apps and Feature Access
A fundamental advantage of native applications lies in their ability to fully harness the power of a mobile device’s hardware and software capabilities. This deep integration is a cornerstone of their value in the web and mobile ecosystem.
Native applications are not constrained by the limitations of a browser; they have direct access to a rich array of device features. Consider the possibilities: native apps can seamlessly integrate with the device’s camera to capture photos and videos, utilize GPS for precise location tracking and navigation, employ the accelerometer and gyroscope for motion-sensing and immersive experiences, and leverage biometric authentication for enhanced security. Furthermore, they can access core functionalities such as the contacts list, calendar, and push notification services, creating a cohesive and intuitive user experience.
This level of access empowers developers to create sophisticated and engaging applications that push the boundaries of what’s possible on mobile devices. For example, augmented reality (AR) applications, which overlay digital information onto the real world, heavily rely on native access to the camera, sensors, and processing power. Similarly, high-performance gaming, which demands optimized use of the device’s graphics capabilities and real-time responsiveness, typically thrives in the native application environment.
In essence, native applications provide the tools and capabilities to craft truly immersive, feature-rich, and deeply integrated mobile experiences. This capability remains a critical factor in their continued importance, even amidst the ongoing evolution of web and mobile technologies.
Always Available: The Power of Offline Functionality in Native Apps
While we live in an increasingly connected world, reliable internet access isn’t always guaranteed. This is particularly true in various enterprise scenarios and mobile-centric workflows. Native applications offer a significant advantage by providing robust offline functionality.
Native mobile apps possess the capability to store data locally on the device, enabling continued operation even without an active internet connection. This is a crucial feature for numerous use cases. Imagine field technicians conducting inspections in remote areas with limited connectivity, warehouse staff managing inventory in facilities with spotty Wi-Fi, or healthcare providers accessing patient records in locations with unreliable networks. Native apps allow these users to perform their tasks, access critical information, and collect data seamlessly, with synchronization occurring automatically once a connection is restored.
In contrast, web apps generally require an active internet connection to load pages and fetch data. Although modern web technologies like service workers and Progressive Web Apps (PWAs) can provide some degree of offline functionality through caching, the implementation is often more complex and the reliability can be less consistent compared to native solutions. In many cases, web apps offer limited functionality or become entirely unusable when offline.
For enterprises with a mobile-enabled workforce, especially those operating in the field or in areas with inconsistent connectivity, the offline capabilities of native applications can be a game-changer. It ensures business continuity, maximizes productivity, and enhances data accuracy, regardless of network availability.
The Native Edge: Choosing Quality in a Mobile-First World
In the ever-evolving landscape of web and mobile technology, the discussion about native applications versus web apps remains relevant. Both approaches have their strengths and weaknesses, and the “best” choice often depends on the specific requirements and objectives of a given project. However, when the goal is to deliver peak performance, create highly engaging user experiences, and fully leverage the capabilities of mobile devices, native applications continue to hold a decisive edge.
While web apps and hybrid app development can offer advantages in terms of cost-effectiveness and cross-platform reach, they frequently involve compromises in crucial areas. Native applications, by their very nature, are optimized for the mobile environment, providing a level of speed, responsiveness, and seamless integration that is often difficult to replicate with other approaches. In today’s mobile-first world, where users expect and demand high-quality, intuitive, and seamless mobile experiences, native applications become a crucial tool for businesses seeking to differentiate themselves and achieve success. User behavior and engagement statistics underscore this point: users spend a significant majority of their mobile time within native applications, and these apps consistently demonstrate higher conversion rates, indicating their effectiveness in driving desired user actions.
For businesses committed to delivering exceptional mobile experiences and recognizing the importance of high-performing native applications, Qyrus offers a suite of cutting-edge mobile testing solutions. As discussed, although web apps are not ideal for mobile devices, Qyrus also offers the ability to execute web tests on mobile devices. Qyrus empowers development teams to ensure their native applications perform flawlessly across a wide range of mobile devices and operating system versions. Don’t leave the success of your native or web applications to chance; invest in quality and reliability with Qyrus.
At Qyrus, our commitment is to continuously advance our platform, equipping your teams with cutting-edge tools, simplifying complex testing processes, and making the path to quality clearer and more accessible. June has been another month of dedicated development, bringing forth a wave of innovative features and critical enhancements designed to offer you expanded data connectivity, deeper AI-driven insights, and more refined control across your entire testing journey. These updates are crafted to significantly boost your efficiency and provide unparalleled visibility into your applications.
Let’s dive into the latest capabilities we’ve integrated into the Qyrus platform this June!
Improvement
Loop Smarter: Combine Static & Dynamic Data in Your Web Locators!
The Problem: Previously, users encountered difficulties when trying to automate interactions with dynamic web elements, like tables or lists, within a loop. Crafting locators that could adapt to changing element attributes or indices during each iteration was cumbersome, often requiring users to code complex workarounds or limiting the ability to create truly flexible, data-driven tests for these common web structures.
The Fix: We have enhanced our web testing capabilities by enabling the combination of both dynamic (variable data, e.g., from a loop’s iteration or a data source) and static (user-defined text) input within the locator field for steps inside a loop. This allows for the construction of adaptive locators on the fly.
How does it help: This provides significantly more flexibility in web test automation. Users can now easily iterate over dynamic elements such as rows in a table or items in a list where part of the locator remains constant while another part changes with each iteration. This enables the creation of more robust, data-driven locators, simplifying the automation of complex web scenarios and making tests easier to maintain.
Improvement
Enhanced Run Visibility for Web Tests
The Problem: Previously, when automating repetitive sequences of actions within a loop for web testing, users might have had to duplicate those steps for each iteration or for similar loops. This could lead to longer, more complex test scripts that were harder to maintain and less efficient, especially when a common set of operations needed to be performed repeatedly within the loop’s context.
The Fix: We have enhanced our Web Testing capabilities by introducing support for executing functions within a loop. Users can now incorporate the “Execute Function” action type directly inside a loop, allowing them to call pre-defined, reusable functions during each iteration of the loop.
How does it help: This significantly boosts the modularity, reusability, and maintainability of web test scripts. Users can encapsulate common or complex sequences of actions into a single function and then call this function repeatedly within a loop, or across different loops. This leads to cleaner, more concise test scripts, reduces redundancy, simplifies updates, and ultimately makes automated web tests more efficient and easier to manage.
New Feature
New MongoDB Connector: Unlocking NoSQL & Semi-Structured Data Testing
The Problem: The data testing platform previously lacked direct support for semi-structured and NoSQL data sources like MongoDB. This meant users could not easily ingest, compare, or evaluate data from MongoDB instances, nor could they readily perform structured and nested validations on real-world JSON-like datasets within the platform.
The Fix: A MongoDB Connector is being introduced to the data testing platform. This connector will allow users to connect to MongoDB instances and ingest data specifically for use in Compare and Evaluate jobs.
How does it help: This new connector enables users to work with semi-structured data from MongoDB, allowing for structured and nested validations on JSON-like datasets. It serves as a foundation for testing nested documents and supports advanced use cases such as comparing MongoDB documents against other data sources (like flat files or relational tables), evaluating fields using various assertion types, and integrating with an upcoming nested comparison framework.
Improvement
Dry Run Delight: SQL Connectors Enhanced with LIMIT & OFFSET!
The Problem:
Previously, when configuring SQL connectors for tables or queries, users might not have had a direct way to restrict the number of rows fetched for initial testing or validation purposes. This meant that to test data mappings, transformations, or query logic, they might have had to process entire datasets, which could be slow and resource-intensive, especially during the development and dry run phases.
The Fix:
We have improved our SQL connectors to now support the use of LIMIT and OFFSET clauses directly within the table and query configuration settings. This allows users to specify the maximum number of rows to retrieve (LIMIT) and the starting point for data retrieval (OFFSET) when setting up their data connections.
How does it help:
This enhancement significantly improves efficiency, particularly for testing and validation. Users can now easily configure “Dry Run” setups to fetch and process only a small, manageable portion of their data. This enables them to quickly validate their data mappings, transformations, and query logic without the overhead of processing full datasets, leading to faster iteration cycles, reduced resource consumption during development, and more agile data pipeline testing.
Improvement
Unified Workflow Playback: Single Video for Web & Mobile Executions!
The Problem: Previously, when reviewing test executions for workflows in Test Orchestration that involved both Web and Mobile services, users might have had to access and manage separate video recordings for each service. This fragmented approach could make it cumbersome to get a holistic, end-to-end report of the entire workflow.
The Fix: We’ve introduced a significant enhancement to our consolidated reporting in Test Orchestration: a single video per workflow execution. This means that for workflows involving both Web and Mobile services, a single, consolidated video recording will be generated, seamlessly combining the visual recordings from both service interactions into one comprehensive playback.
How does it help: This feature provides users with a unified and complete visual record of their entire workflow execution from start to finish, all in one place. It greatly simplifies the review process, making it easier to understand the full user journey across different platforms (Web and Mobile).
Improvement
Streamlined Test Setup: Run All Nodes in a Global Environment
The Problem:
Previously, users were required to select an environment for each individual node within their test configurations. While this offers granular control for complex multi-environment testing scenarios, it proved to be an inconvenience and time-consuming for users who primarily operate with a single, consistent environment (like a global or default one) across all nodes, or those who simply wanted a quick way to run everything against a standard setup.
The Fix:
To address this, we have added a Global Environment toggle. When activated, this option will allow users to run all nodes in their test configuration using the respective “Global Environment” defined for each service, bypassing the need for individual environment selection for each node.
How does it help:
This enhancement will significantly simplify and speed up the test configuration process for many users. It offers a convenient one-click solution for those who wish to execute all their test nodes against a pre-defined global or default environment, reducing repetitive manual setup and saving valuable time. This leads to a more streamlined user experience, especially for large test suites or when a uniform environment strategy is applied.
Improvement
Branch Hub Gets Literal: Compare Directly with Static String Values!
The Problem:
Previously, when defining conditional rules within the Branch Hub, users might have faced limitations or complexities if they needed to compare a variable directly against a specific, fixed string value (a string literal). This could require workarounds, such as pre-defining the static string as another variable, making the rule creation process less intuitive or direct for common scenarios like checking if a status variable equals “Completed” or a type field matches “Urgent.”
The Fix:
We have enhanced Branch Hub to directly support the use of static string literals in comparison operations. This means users can now easily define rules by comparing a variable with a fixed string value directly entered into the condition, for example, Variable_Name == “Your Static Text”.
How does it help:
This update significantly simplifies the process of creating and managing rules in Branch Hub. Users can now more intuitively and directly define conditions based on specific text values without needing intermediate steps. This enhances the flexibility and clarity of rule definitions, making it easier to implement precise conditional logic for workflows.
Improvement
Enhanced Control: Skip Support Added for Parameterized Mobility Tests
The Problem:
Clients were unable to skip individual test cases within their parameterized Mobility test executions when running them through Test Orchestration. This lack of control meant all defined iterations of a parameterized test would execute, even if some were not relevant for a specific test run.
The Fix:
A validation has been added to the Mobility Framework specifically for Test Orchestration executions. This validation checks for the presence of a tilde (‘~’) character in parameterized test cases. If this character is detected, that particular parameterized step (test case or iteration) is skipped during execution and is also excluded from the test report.
How does it help:
This feature allows clients to customize their parameterized test executions more effectively within Test Orchestration. They can now selectively exclude specific test cases or iterations from a run, leading to more focused testing, faster execution times for relevant scenarios, and cleaner reports that only reflect the desired test scope.
The Problem: Clients previously could not refine their visual testing comparisons by instructing the system to ignore specific, often dynamic or irrelevant, regions within device screenshots. This limitation could lead to inaccurate comparisons or an inability to focus solely on the critical visual elements of an application.
The Fix: To address this, a new ‘Verify Screen’ action type has been introduced. This action allows users to limit visual comparisons to specific test steps within their script and, crucially, enables them to define and ignore specific regions within those device screenshots. Furthermore, new global settings have been added for Visual Testing executions: ‘Ignore Header,’ ‘Ignore Footer,’ and ‘Pixel Pass.’ The ‘Pixel Pass’ setting allows users to define an acceptable threshold for pixel differences in comparisons. These global settings are applied to all screenshots within a given visual testing execution.
How does it help: These improvements provide users with substantially more control and customization over their visual testing comparisons. They can now make visual checks more precise by excluding irrelevant areas, consistently ignoring common elements like headers or footers, and setting tolerance levels for minor pixel variations.
New Feature
Testing the True Offline: Simulate Zero Network Speed on Android Devices
The Problem: Accurately testing an application’s behavior when an Android device has absolutely no internet connectivity can be challenging. Standard network shaping tools might not offer a straightforward “zero speed” setting, and alternative methods for simulating a complete lack of connection might not be consistently reliable or easy to configure. This makes it difficult for developers and testers to confidently verify offline functionality, error handling for no-internet scenarios, and the overall user experience when a device is truly offline.
The Fix: We integrated a dedicated network profile, “Zero”, ensuring users can easily select and apply this condition.
How does it help: This feature will enable users to reliably and accurately simulate their Android application’s behavior when the device has no internet access. It allows for thorough testing of critical offline functionalities, such as data caching, offline content access, graceful error messaging, and how the app recovers when connectivity is restored.
New Feature
AI Supercharges Qyrus Recorder (FKA Encapsulate): AI Phase 1 is Live
The Problem:
Previously, creating and expanding tests with Qyrus Recorder (formerly known as Encapsulate), while effective, might have involved primarily manual recording processes. Users looking to define tests using natural language descriptions, automatically generate diverse test scenarios from existing ones, or ensure complete exports without manual touch-ups faced limitations.
The Fix:
The AI Phase 1 has been completed, integrating advanced QTP (Qyrus Test Persona/AI) capabilities directly into Qyrus Recorder (FKA Encapsulate). This brings several key enhancements:
Users can now create and record tests within Qyrus Recorder simply by providing step descriptions, which the AI interprets to build the test flow.
Users can leverage AI to automatically generate additional and relevant test scenarios based on the current test context, helping to easily expand test coverage.
When exporting test steps from QTP, the “Go to Url” step will now automatically include the target URL, making exported tests more complete and ready to use.
How does it help:
This first phase of AI-powered enhancements significantly enhances the test creation process with Qyrus Recorder by:
Offering Intuitive Test Design: Allowing tests to be built from natural language descriptions caters to diverse user preferences and can speed up the initial articulation of test flows.
Boosting Test Coverage Effortlessly: AI-driven scenario generation helps users quickly identify and create a wider array of test cases, including edge cases, with minimal manual effort directly within the recorder.
Streamlining Workflows: Ensuring URLs are included in exported “Go to Url” steps saves time and reduces the need for manual post-export modifications, making tests more portable and immediately actionable.
Heads Up! In-App Alerts for Deployments & New Feature Highlights
Improvement
The Problem:
Keeping users promptly informed about important events like ongoing system deployments (which might temporarily affect service) or the release of exciting new features could be challenging using traditional communication methods alone. Users might miss external announcements, leading to potential confusion during maintenance periods or slower adoption of newly added functionalities.
The Fix:
We have integrated a tool that enables us to display timely popups or snippets directly to users within the application. These in-app notifications will be used to proactively inform users about ongoing deployments and to highlight when new features have been added to the platform.
How will it help?
This new communication channel ensures users receive critical information and exciting news directly where they are working – within the application itself. It will improve awareness of ongoing deployments, potentially reducing confusion or support queries during maintenance windows.
Other Enhancements
We have resolved underlying issues concerning the lifecycle management of dedicated browser frameworks. This involves ensuring these frameworks are now correctly and reliably allocated when needed, properly deallocated after use to free up resources, and effectively renewed when required, leading to a more robust management process.
We have identified and resolved the problem that was hindering the system user re-invitation process. The fix ensures that when a system user is reinvited, they now properly receive the new invitation and can respond to it as expected, allowing them to join or re-access the system.
We have corrected the functionality responsible for displaying the assigned team list in the user profile section. The system now accurately fetches and presents the user-to-team mappings, ensuring that the teams listed in a user’s profile are a true representation of their current assignments.
We have now added the download options for Qloud-Bridge and Q-Spy (for various operating systems) to the new navbar. These essential links are now correctly integrated and visible within the main navigation structure.
We have standardized the “view password” option across all relevant password set and password reset pages. This ensures that the functionality to toggle password visibility is consistently present and functions uniformly wherever users are required to create or update their passwords.
Virtual User Balance (VUB) – Test Your APIs Like Real Users
The Problem:
Traditional API testing often focuses on a single interaction or low-volume scenarios. But real-world usage rarely works that way. When hundreds or thousands of users interact with your system at once, you need to know whether your API will hold up—or fall apart. Until now, simulating realistic traffic patterns and usage concurrency required custom setups or third-party integrations.
The Fix:
With the new Virtual User Balance (VUB) system, qAPI now allows you to simulate up to 1,000 virtual users interacting with your API simultaneously—no external tools or custom load scripts required. Each project receives a monthly allocation of “virtual user credits” that can be used across all your test suites and environments.
Whether you’re stress testing for scale or validating business workflows under pressure, you can now launch realistic, high-volume test scenarios with a single click.
How will it help?
Test Like It’s Production: Simulate real-world concurrency and see how your API behaves under pressure.
One Click, No Setup: No need to build custom load test infrastructure—just launch and go.
Shared Monthly Credits: Use your virtual user balance across all projects and teams efficiently.
Collaboration – Work Together on API Projects
The Problem:
Previously, API testing in qAPI was a solo experience. Users couldn’t easily collaborate or share resources, which created silos and duplicated work. Teams working on the same API had to manage separate environments, data sets, and test runs—slowing down delivery and increasing friction.
The Fix:
With the new Shared Workspaces feature, qAPI users can now invite teammates to collaborate on API projects in real time. Projects can still remain private, but when shared, everyone in the workspace can access the same collections, tests, environments, and virtual user credits.
It’s a seamless way to go from individual testing to true team collaboration—similar to switching from emailing files to working together in Google Docs.
How will it help?
Faster Collaboration: Multiple users can contribute to the same project, in the same environment.
Shared Resources: Pool test credits and environments across the team for better efficiency.
Flexible Privacy: Keep projects private when needed or open them up for collaboration.
Even after testing an API successfully, developers often had to manually recreate the same request logic in their application code—copying headers, payloads, and endpoints by hand. This was time-consuming and error-prone, especially for more complex APIs.
The Fix:
qAPI now lets you instantly generate a copy-paste-ready cURL snippet for any API request you’ve built and tested. This allows developers to take working API calls and drop them directly into scripts, documentation, or terminals—without having to rewrite a single line.
Support for additional languages and code frameworks is coming soon.
How will it help?
Save Developer Time: No more recreating tested calls—just copy and go.
Reduce Errors: Eliminate the risk of typos or config mismatches in code.
Boost Developer Velocity: Get working API logic into your application faster.
Beautify – Make Messy Code Look Clean
The Problem:
APIs return data in formats like JSON, XML, or GraphQL—but the output is often compressed, unformatted, and hard to read. Manually formatting these responses takes time and increases the risk of missing bugs or misinterpreting structure.
The Fix:
qAPI now includes a Beautify feature that automatically reformats messy API request or response bodies into clean, readable, indented formats. It detects the content type (JSON, XML, GraphQL), and only activates when there’s something to format. If you’re working with plain text or already clean content, it stays out of the way.
How will it help?
Readability First: Instantly make complex API responses human readable.
Smarter Formatting: Only runs when needed and adapts to the data type.
This June, Qyrus is putting enhanced connectivity, deeper AI intelligence, refined user control, and greater operational efficiency directly at your fingertips. From seamlessly integrating with NoSQL databases like MongoDB and generating complex test code from natural language with our advanced AI, to gaining precise control over visual comparisons with new ignore-region capabilities, every new feature is engineered to elevate your testing strategy. We are committed to providing a unified platform that not only adapts to your evolving needs but also streamlines your critical processes, empowering you to release high-quality software with greater speed and confidence.
Eager to explore how these June advancements can transform your testing efforts? The best way to appreciate the Qyrus difference is to experience these new capabilities directly.
Are complex mathematical calculations throwing a wrench in your web testing? Verifying intricate financial sums, validating data with scientific formulas, or ensuring precise e-commerce calculations previously meant writing custom Java or JavaScript code even when using low-code solutions. While flexible, this approach demanded specific technical skills and added complexity to test creation and maintenance – a real detour on the path to streamlined automation.
But what if you could simply tell your testing platform what calculation you needed, and it would magically generate the code? What if this AI test code generator was smart enough to understand the very variables you’ve already set up in your test steps?
Good news: the manual coding detours are behind you! We’re thrilled to unveil a groundbreaking new feature in Qyrus Web Testing that fundamentally changes how you handle complex mathematical calculations. This is a significant leap, making sophisticated test automation accessible and efficient for everyone on your team.
The Challenge of Complex Calculations in Web Testing
Web testing often goes beyond simple interactions. Many critical user flows involve intricate calculations – think e-commerce totals with dynamic discounts and taxes, data visualizations requiring complex computations, or scientific applications demanding precise numerical outputs. Verifying these accurately is crucial.
Historically, automating these complex mathematical outcomes in web testing, even with a largely codeless framework like Qyrus, eventually required custom code. You’d find yourself needing to write snippets of Java or JavaScript to:
Fetch numerical values from different elements on a page.
Perform multi-step arithmetic or apply complex formulas.
Compare calculated results against expected values or other on-page data.
Handle specific data types or formatting requirements.
While offering flexibility, this reliance on custom code created hurdles. It demanded programming expertise, adding time, increasing the risk of errors in complex scripts, and making maintenance challenging as applications evolved. It was a clear bottleneck for testing efficiency and scalability.
Introducing AI-Powered Code Generation for Calculations: Your New AI Test Code Generator
We’ve seen the challenges, the time spent writing custom scripts, and the desire for a simpler way to handle complex math in your web tests. That’s precisely why we’re thrilled to introduce the latest innovation in Qyrus Web Testing: AI-Powered Code Generation for Complex Calculations.
This powerful new capability acts as your intelligent AI code test generator, designed specifically to tackle those intricate mathematical operations that previously required manual coding in Java or JavaScript. Our goal is to empower every tester, regardless of their programming background, to build comprehensive and robust test cases that include sophisticated data validation and calculations.
Instead of wrestling with syntax and logic in a code editor, you can now leverage the power of artificial intelligence right within the Qyrus platform. Simply describe the mathematical calculation you need to perform as part of your test step. The AI understands your intent and, crucially, is aware of the variables you have already defined within your test scenario. It then automatically generates the precise code snippet required to execute that calculation.
This feature is significant in AI automated test generation, specifically targeting a common pain point in web application testing. It removes the barrier of needing to write custom code for complex calculations and verifications, making your test creation process faster, more intuitive, and accessible to your entire QA team.
How it Works: AI, Your Test Variables, and Your Effortless AI Generated Test Code
Curious about how this intelligent ai test code generator actually works? While the underlying technology is sophisticated, designed to provide you with ai generated test code efficiently, the user experience is remarkably simple.
Here’s a breakdown of how our new ai test code generator works in harmony with your testing process:
You Describe the Calculation: Within your Qyrus web test step, you simply articulate the mathematical calculation you need using natural language. Example: “Calculate 15% of the value stored in the ‘subtotal’ variable and store it in a new variable called ‘tax_amount’.”
AI Processes Your Request: Our intelligent AI model receives your natural language instruction, trained to understand mathematical concepts and common testing requirements.
Contextual Understanding (Knowing Your Variables): This is a key differentiator. The AI has full context of the variables you have already created and defined within your current test scenario, understanding exactly what you mean when you reference them.
Code Generation: Based on your description and its understanding of your test variables, the AI generates the precise, optimized code necessary to perform the calculation within the Qyrus environment. This is where the power of llm-based code generation translates your intent into functional test code.
Seamless Integration: The generated code is seamlessly integrated into your test step. The calculation output can be stored in a new variable or used directly for verification.
This streamlined process means you focus on what to test, not how to code the calculation. It’s about making sophisticated AI automated test generation practical for numerical complexities.
The Benefits You’ll Experience: Why this AI Automated Test Generation is a Game Changer
Integrating an AI test code generator directly into your workflow for complex calculations isn’t just a neat trick; it delivers significant, tangible benefits that can transform your web testing process. Here’s what you can expect:
Supercharged Efficiency and Speed: This is perhaps the most immediate benefit. No more pausing to write custom code, debug syntax errors, or scour documentation for mathematical functions. By simply describing the calculation, you drastically cut down the time it takes to build and implement test steps involving complex math. This accelerated test creation directly contributes to faster testing cycles and quicker releases.
Democratized Test Automation: The need for specialized Java or JavaScript skills for complex calculations is virtually eliminated. This empowers your entire QA team, including manual testers and business analysts who understand the application’s logic, to contribute more effectively to automation. Our AI code test generator breaks down technical barriers, allowing everyone to build more comprehensive tests.
Reduced Errors, Increased Accuracy: Manually writing code for complex formulas can be prone to typos or logical errors. The AI generates code based on its training and understanding, leading to more accurate and reliable test logic for your calculations. This means fewer false positives or negatives caused by errors in your test scripts, and more trust in your test results.
Simplified Test Maintenance: Custom code snippets, especially those written by different team members over time, can become challenging to manage and update as your application evolves. With AI-generated code for calculations, the logic is based on your clear, natural language description within Qyrus, making it inherently easier to understand and maintain.
Faster Time to Market: By accelerating test creation and reducing maintenance overhead, this feature directly impacts your delivery pipeline. You can build, execute, and update tests faster, ensuring that your application is thoroughly validated without becoming a bottleneck in your development lifecycle. This enhancement in AI automated test generation capabilities is key to keeping pace in agile environments.
In essence, this new feature frees up your valuable time and technical resources, allowing your team to focus on more strategic testing activities and deliver higher-quality applications faster.
Putting the AI Test Code Generator to Work: Real-World Use Cases
The power of describing your calculation and letting Qyrus generate the code becomes clear when you look at everyday testing scenarios. This AI code test generator is designed to handle a variety of mathematical complexities you encounter in modern web applications. Here are a few examples:
Use Case 1: E-Commerce Checkout Total Verification
Imagine testing an e-commerce site. The final order total isn’t just the sum of item prices; it involves calculating discounts, applying sales tax based on location, and adding shipping costs. Manually coding this requires fetching each value, performing conditional logic for discounts, applying tax percentages, and then summing it all up.
With the new AI feature: You could create variables for subtotal, discount_amount, tax_rate, and shipping_cost earlier in your test. Then, for the final total verification step, you simply instruct the AI test code generator: “Calculate the final total by taking subtotal, subtracting discount_amount, adding (subtotal minus discount_amount) multiplied by tax_rate, and then adding shipping_cost. Store the result in a variable called final_calculated_total.” The AI processes this description, understands the variables you referenced, and generates the necessary code to perform the precise calculation, which you can then compare against the total displayed on the page.
Use Case 2: Financial Application Data Validation
In a banking or investment application, you might need to verify calculated fields like interest accrued, future value based on principal and interest rates, or portfolio performance metrics. These often involve specific financial formulas.
With the new AI feature: After extracting the necessary inputs like principal_amount, annual_interest_rate, and investment_period into variables, you could tell the AI: “Calculate the future value using the compound interest formula: principal_amount multiplied by (1 + annual_interest_rate / 12) raised to the power of (investment_period in years multiplied by 12). Store this in calculated_future_value.” The llm-based code generation understands the formula’s structure and applies it to your specified variables, providing the calculated value for verification against the application’s displayed figure.
Use Case 3: Data Transformation and Verification in Reporting
Web dashboards often display data that is transformed or aggregated using calculations. You might need to verify a percentage change, an average value across a dataset displayed in a table, or a unit conversion.
With the new AI feature: If you have variables representing current_value and previous_value, you could ask the ai automated test generation capability: “Calculate the percentage change from previous_value to current_value using the formula: ((current_value – previous_value) / previous_value) * 100. Store the result in percentage_change.” The AI generates the code to perform this common calculation, allowing you to easily verify the calculated percentage displayed on the report.
These examples demonstrate how describing your calculation in plain language, combined with the AI’s understanding of your test variables, makes automating complex mathematical verifications significantly faster and more intuitive.
Conclusion: Simplifying Complexity with Intelligent AI Automated Test Generation
By leveraging the power of llm-based code generation tailored for testing, Qyrus continues to deliver on its promise of simplifying test automation and making it accessible and efficient for teams of all sizes and technical backgrounds.
Say goodbye to the manual coding hassle for complex math and embrace a more intuitive, faster, and more accurate way to test. This is AI automated test generation truly put to work to solve real-world testing challenges.
Ready to See the Qyrus AI Test Code Generator in Action?
Experience firsthand how easy it is to handle complex calculations and accelerate your web testing.
At Qyrus, we’re relentlessly focused on evolving our platform to empower your teams, streamline your workflows, and make achieving quality more intuitive than ever before. May was a busy month behind the scenes, packed with exciting new features and significant enhancements designed to give you even more power and flexibility in your testing journey. Here’ re the latest advancements we’ve rolled out across the Qyrus platform!
Excited to see these May power-ups in action? There’s no better way to understand the impact Qyrus can have on your testing journey than by experiencing it firsthand.
New Feature
Complex Web Tests, Now Powered by AI Genius!
The Problem: Users had to manually write Java and JavaScript code for complex calculations within their web tests. This could be time-consuming, error-prone, and potentially require deep coding expertise.
The Fix: A new AI feature has been introduced that can generate custom Java and JavaScript code snippets from natural language descriptions. This AI recognizes variables already set up in the test and integrates with existing “Execute JS,” “Execute JavaScript,” and “Execute Java” actions.
How does it help: This feature eliminates the need for manual coding of complex calculations, saving time and effort. It makes creating these code snippets faster (“instantly”) and more accessible, even for users who might not be expert coders. Users still retain control as they can review, modify, or copy the generated code.
A quick note: This powerful AI code generation is currently a Beta feature, and we’re actively refining it based on your feedback!
Improvement
Enhanced Run Visibility for Web Tests
The Problem: Enterprise clients lacked clear visibility into their test execution queues. They couldn’t see detailed information about their test runs, such as their exact position in the queue. This made it difficult to gain insights, plan effectively, and stay informed about the status of their tests.
The Fix: Enhanced visibility into test execution queues has been introduced for enterprise clients. This allows them to see detailed information, including the exact position of their test run in the queue.
How does it help: This feature provides enterprise clients with better insight into their test execution process. It enables them to plan more effectively by knowing when their tests are likely to run and helps them stay informed about the progress every step of the way.
New Feature
Sharper Focus for Your Mobile Visuals
The Problem: When performing visual testing on mobile applications, dynamic elements, irrelevant areas, and common elements like headers or footers (e.g., notification bars) could cause visual comparisons to fail or produce “noisy” results. This made it difficult to focus on the actual UI changes that mattered and ensure app integrity across devices.
The Fix: The Mobile Testing capabilities have been enhanced to provide more granular control over visual comparisons. Users can now:
Ignore specific areas within mobile application screens, excluding them entirely from visual comparisons.
Specifically ignore the header or footer of the screen.
How does it help: This leads to cleaner and more relevant visual comparison results by reducing false positives caused by dynamic content or standard UI elements that aren’t the focus of the test. It allows users to focus on what truly matters for their app’s user interface integrity and reduces the “noise” in test results, making it easier to ensure the app looks correct across different devices.
Improvement
Device Farm: Smoother Streaming, Better Guidance
The Problem: The user experience on the Device Farm streaming screen wasn’t as smooth or intuitive as it could be. Specific issues included: The tour guide text could be more informative and clearer. There was a lack of consistent navigation directly on the device streaming page. Navigating the page was difficult when using a higher zoom percentage.
The Fix: Several user experience improvements have been rolled out:
The tour guide text has been refined to be more informative and provide clearer guidance.
A Global Navbar has been added directly inside the device streaming page for consistent navigation.
A scroll bar has been included to improve page navigation when working with higher zoom percentages.
How does it help: These changes aim to make interactions on the Device Farm streaming screen more intuitive and efficient. Users benefit from clearer feature guidance, consistent and accessible navigation, and easier maneuvering of the page view, especially at high zoom levels. This results in a smoother workflow and a better overall user experience.
Improvement
Desktop Testing: Schedule Your Success
The Problem: Users previously could not schedule desktop tests, leading to manual effort, especially for complex end-to-end scenarios across multiple modules. Aligning regression tests with deployment schedules was difficult, and ensuring desktop availability for execution was a constant concern, complicating the management of large test workflows.
The Fix: To address these limitations, test scheduling functionality has now been introduced and made available within Qyrus Desktop Testing.
How does it help: This feature automates desktop testing workflows, allowing users to schedule complex end-to-end tests and run regression suites automatically, even in line with deployment schedules. It eliminates worries about desktop availability by having Qyrus manage it, thereby significantly simplifying the management of extensive test suites.
Improvement
Smarter AI for Broader Test Coverage
The Problem: While TestGenerator and TestGenerator+ were already powerful AI features, there was an opportunity to enhance their effectiveness in generating a comprehensive set of tests and identifying coverage gaps, thereby further reducing the manual effort required in test creation.
The Fix: Key under-the-hood improvements have been made to both TestGenerator and TestGenerator+. TestGenerator continues to transform JIRA tickets into actionable test scenarios, and TestGenerator+ still actively explores untested application areas to identify gaps. The core enhancement is that the AI is now refined to build more tests compared to previous versions.
How does it help: These enhancements mean the AI works more effectively to increase the number of automatically generated tests. This helps users achieve more comprehensive test coverage by better bridging the gap between development tasks and testing needs and more intelligently identifying untested areas, all leading to more efficient testing with reduced manual effort.
Ready to Experience the May Power-Ups?
This month’s Qyrus updates are all about putting more power, intelligence, and efficiency directly into your hands. From harnessing AI to generate complex web code to gaining sharper insights from mobile visual tests, scheduling your desktop workflows, and boosting the output of our AI test generators – every enhancement is designed with your success in mind. We’re dedicated to providing a platform that adapts to your needs, streamlines your processes, and helps you deliver quality software faster than ever before.
Excited to see these May power-ups in action? There’s no better way to understand the impact Qyrus can have on your testing journey than by experiencing it firsthand.
Discover the essential 10-point checklist every QA leader needs to evaluate their readiness for digital transformation.
From test coverage and DevOps integration to AI-driven insights and business alignment, this quick checklist helps you assess where your QA stands and how to elevate it.
Whether you’re just starting your transformation journey or fine-tuning with the right partner, this checklist is your first step toward faster, smarter, and more collaborative quality engineering.
Jerin Mathew
Manager
Jerin Mathew M M is a seasoned professional currently serving as a Content Manager at Qyrus. He possesses over 10 years of experience in content writing and editing, primarily within the international business and technology sectors. Prior to his current role, he worked as a Content Manager at Tookitaki Technologies, leading corporate and marketing communications. His background includes significant tenures as a Senior Copy Editor at The Economic Times and a Correspondent for the International Business Times UK. Jerin is skilled in digital marketing trends, SEO management, and crafting analytical, research-backed content.
