As of 2025 the software development industry has gone through a drastic shift. Agile methodologies are now being actively replaced by the rigid waterfall approach, followed by changes in iterative development, customer collaboration, and rapid deployment.
The two-week sprints are now becoming the gold standard. Developers wrote code, testers validated it, and releases happened every few weeks. This was the future—until it wasn’t.
Fast-forward to today.
Industry leaders like Netflix and Facebook are deploying API changes hundreds of times per day. Amazon deploys updates every 11.7 seconds on average.
Numbers like that are exactly why conversion-rate optimization is big business. The question is: Where should you start?
By understanding your specific needs and available resources and setting a plan to reach your expectations.
Large enterprises often have the luxury of investing heavily in tools and expertise to accelerate their results. But does your company operate on the same scale? Do you have the right team, tools, and expertise to deploy at the same speed?
As we are now in the peak usage of on-demand services, cloud computing, and microservices, waiting two weeks for a release is not exactly ideal.
We have seen customers expect seamless experiences, instant updates, and zero downtime. To meet these expectations, development cycles have shrunk from weeks to hours or even minutes.
So, in these conditions how can you ensure quality without slowing down? How do you test features that interact with countless microservices? The answer lies in a paradigm shift: API-first testing.
Why Working Hard Is Not Solving Anything: The problem with Traditional Testing Methods.
The shift to microservices and cloud-native architectures is making traditional testing methods increasingly obsolete. Manual testing or spending countless hours on API- testing is no longer sustainable.
These methods are slow, error-prone, and fail to address the problems faced in modern systems. Teams that are still relying on old practices are now finding themselves struggling to keep up with the pace of development, leading to delayed releases and compromised quality.
If your team is still stuck in two-week sprints for API testing, it might be time to rethink your strategy. Agile teams working in two-week sprints or similar cycles often face the following challenges:
Late-stage defect discovery: Bugs are detected late in the cycle, leading to rushed fixes that disrupt development workflows. This results in unstable software and an increased risk of deployment failures.
Heavy reliance on UI testing: UI testing, while necessary, is slow, brittle, and resource intensive. It depends on the availability of a stable UI and is often prone to breaking with minor UI changes.
Limited test automation: Many teams struggle with automating tests beyond unit testing, leading to longer regression cycles and increasing testing debt.
Siloed teams: Developers, testers, and DevOps teams operate in isolation, causing integration issues that are discovered too late, often in staging or even production.
Microservices complexity: Modern applications rely on numerous APIs, and traditional testing methodologies fail to validate interactions effectively, making it difficult to ensure end-to-end quality.
A survey by Capgemini found that over 60% of Agile teams struggle with test automation related issues, and nearly 70% of organizations report delays caused due to inadequate testing strategies
Additionally, modern testers need API knowledge to stay relevant. API-first development is reshaping testing responsibilities, requiring QA professionals to go beyond UI-based testing and validate business logic at the service layer.
Before you start guessing, What is API-First Testing?
API-first testing enables teams to shift testing left, a way to ensure business logic, integrations, and data flows are validated at the API layer—long before they reach the UI.
This proactive approach is built on three core principles:
Test early, test often: Start testing APIs as soon as development begins. API-first testing allows teams to validate functionality before a UI is even built, catching defects early and reducing costly rework.
Automate everything: API tests run faster and are more reliable than UI tests. They enable automation of functional, performance, and security tests, ensuring comprehensive validation across services.
Enable cross-team collaboration: By using API-first testing, developers, testers, and DevOps teams work together using a shared suite
The Impact That API-First Testing can Create
Here’s how API-first testing directly impacts business outcomes:
1. Speed to Market
Before: Feature releases took 2-4 weeks due to lengthy test cycles.
After API-First Testing: Companies like Shopify can now ship updates 5x faster.
2. Improved Test Coverage
Before: UI tests covered only 50-60% of use cases.
After: API tests extend coverage to 95%+ of functional and integration scenarios.
3. Reduced Costs
Manual UI tests cost 4-5x more to maintain than API tests.
API automation cuts testing costs by 60-70% over time (World Quality Report 2023).
After: 75% of defects caught at the API level before UI development begins.
5. Seamless CI/CD Integration
API tests run in parallel with builds, enabling instant validation in DevOps pipelines.
How to Implement API-First Testing in Your Agile Workflow
Step 1: Define API Contracts Upfront
Teams should create API specifications using OpenAPI, Swagger, or GraphQL schemas. This ensures developers, testers, and stakeholders align on functionality before coding begins.
Step 2: Shift Testing Left with Automated API Tests
Use API testing tools like qAPI, Postman or Cypress to write tests that validate:
Functional correctness (input/output validation)
Performance (latency, response times)
Security (authentication, data leaks)
Resilience (handling failures, timeouts)
Step 3: Integrate API Tests into CI/CD Pipelines
Run API tests automatically with each commit.
Fail builds when critical API endpoints break.
Use mocking to test dependencies without needing fully deployed services.
Step 4: Monitor APIs in Production
Continuous monitoring with tools like New Relic, Datadog, or Prometheus ensures that real-world API failures are detected before customers experience issues.
Real-World Examples:
How Did Stripe Accelerate Their Deployments
Stripe, the global payment processing giant, once struggled with release delays due to fragmented testing. Their challenge? Ensuring payment APIs functioned seamlessly across thousands of integrations.
By adopting API-first testing:
They automated 90% of their test coverage at the API level.
Reduced regression testing time from hours to minutes.
Enabled engineers to deploy to production hundreds of times per day without fear.
The result? Faster releases, fewer production incidents, and greater customer confidence.
Testers at Stripe also had to upgrade their skill sets to API-focused automation, making them critical contributors to the development lifecycle
How Amazon and Facebook Scaled Their API Releases
Amazon’s Deployment Strategy: “You Build It, You Run It”
Amazon is known for deploying updates to production every 11.7 secondson average. Their success comes from:
Decentralized Development: Small, autonomous teams own their services end-to-end.
Automated API Testing: Every change undergoes rigorous automated API testing before release.
Feature Flags: Teams deploy code continuously but release features incrementally, reducing risk.
Canary Releases: New changes are tested in production with a small subset of users before a full rollout.
Facebook’s Continuous Deployment Approach
Facebook pushes updates twice a day using:
Shadow Testing: APIs are tested in a real-world production environment before a live launch.
Automated Rollbacks: If an issue is detected, Facebook’s system automatically reverts to a stable version.
Extensive API Contract Testing: Ensuring backward compatibility prevents breaking user experience.
How Netflix Scaled to Daily Releases
Netflix serves over 230 million users worldwide, delivering high-quality video with millisecond response times. But did you know they once struggled with release cycles?
Their legacy testing relied on UI automation, which slowed them down. By transitioning to API-first testing, Netflix:
Reduced deployment time from weeks to hours.
Implemented chaos testing to simulate real-world API failures.
Achieved 99.99% uptime with microservices-based API testing.
This transformation has enabled Netflix to push updates daily, personalize, recommendations, and handle billions of API requests seamlessly.
Expanding API-First Testing: Key Challenges and Solutions
While API-first testing offers numerous benefits, it does come with its own set set of challenges:
Managing Test Data: Ensuring that API test cases use realistic, reusable, and isolated test data.
Solution: We suggest using API mocking tools like WireMock or Pact to simulate real-world interactions.
Security Testing Complexity: APIs are prime targets for attackers.
Solution: Start by automating security scans using OWASP ZAP and Burp Suite to detect vulnerabilities early.
Integration with Legacy Systems: Not all organizations operate in a modern microservices environment.
Solution: Begin by implementing API gateways to standardize interactions between legacy and modern systems.
Key Questions to Ask About Your Testing Strategy:
Are you spending days debugging UI failures instead of catching defects at the API layer?
Are your testers equipped with the right API skills to validate business logic before it reaches production?
Are you using contract testing to prevent breaking API changes?
Are you leveraging service virtualization to test APIs independently?
How often are API tests executed in CI/CD pipelines?
Is your team equipped with API security testing capabilities?
What Did These Questions Reveal
Answering these questions provides insight into your team’s API testing maturity. If debugging UI failures is consuming most of your time, it’s a sign that critical defects aren’t being caught early enough.
A lack of API skills among testers clearly shows a training gap that will slow down adoption of an API-first approach. Moreover, contract testing or service virtualization may expose your APIs to breaking changes or dependencies that affects independent testing. Limited CI/CD execution signals missed automation opportunities, while insufficient security testing leaves your APIs vulnerable.
By identifying these gaps, you can prioritize initiatives that strengthen your API testing strategy.
The reality is clear: Agile teams can no longer rely on UI testing alone. As software ecosystems grow more complex, API-first testing is no longer an option—it’s a necessity.
The Challenge for QA Leaders
Modern QA engineers are no longer just UI testers—they are quality enablers across the entire application stack. To remain competitive, testers must adopt an API-first mindset, integrating API validation, performance testing, and security assessments into their workflow.
This shift is about more than just learning new tools; it’s about a proactive approach to quality that ensures APIs are robust before they ever reach production.
Are you ready to rethink your approach to testing? The future of Agile development demands an API-first mindset. Will your team lead the transformation—or be left behind?
Key Takeaways:
API versioning challenges: Many API failures occur due to improper version management. Backward compatibility testing is crucial to avoid breaking integrations.
Service virtualization impact: Simulating API dependencies enables early testing, reducing bottlenecks when real services are unavailable.
Contract testing reduces risk: By verifying API interactions at the contract level, teams minimize the need for complex end-to-end tests and detect breaking changes sooner.
API security gaps: We always see teams focus on functionality and they overlook API-specific vulnerabilities like broken authentication, excessive data exposure, and insufficient logging.
Performance issues from caching: Inconsistent cache configurations between environments can cause unexpected failures, making it essential to validate caching mechanisms during testing.
Final Thought: Will Your Team Be Left Behind?
“Every company is a software company. You have to start thinking and operating like a digital company.”
The companies that embrace API-first testing today will be the ones leading the software revolution tomorrow. Will your Agile team be ahead of the curve—or playing catch-up? The choice is yours.
Want to Learn More?
Explore how qAPI enables fast, reliable API testing. Start your free trial today and take your Agile team from sprints to daily releases!
The Untold Story of API Testing: How Tester-Centric Tools are Changing the Game
Picture this: An ambitious FinTech startup is racing to launch a groundbreaking mobile app that promises seamless digital banking. The team’s deadline is tight, and the pressure to deliver is immense. Just days before the launch, during UI validation, testers uncover a critical issue—users can’t complete transactions during peak hours. The core problem? API bottlenecks that were never tested under real-world scenarios.
We are at a phase where digital products are at the heart of business growth, APIs are the unsung heroes—powering everything from microservices and payment gateways to personalized customer experiences. Yet, many organizations approach API testing with a traditional-focused lens, leaving critical gaps that only testers can address.
Let’s take a closer look at why this is a growing challenge.
The Developer-Centric Dilemma
Most teams rely on tools like Postman, Insomnia and SwaggerHub for API development and basic validation. While these tools are powerful for developers, they often fall short when it comes to the broader, user-focused testing needed to ensure seamless experiences. Why?
Developers test APIs for functionality ensuring endpoints respond correctly for a specific set of use cases—but often miss validating real-world scenarios
Many testers use the same scripts developers use and therefore are not actually creating proper coverage of test cases –
Integration bugs, edge cases, and UI-level failures slip through the cracks.
Testing focuses on the API in isolation rather than its role in complex systems.
For example– Imagine an API handling loan applications for a digital bank. While it might respond correctly to individual requests, what happens when 10,000 users apply simultaneously? Or if a user inputs incorrect data, will it properly reject the request or still process it? Or when one downstream API—like credit scoring—is slow? It can potentially result in a cascading effect, disrupting the entire loan application process and impacting user experience.
These scenarios are often missed in developer-centric testing.
The Stakes in BFSI
Financial institutions often handle critical operations like loan disbursements, transaction processing, and fraud detection through APIs. Any failure in these APIs can lead to not just financial loss but also regulatory penalties and reputational damage.
Although essential for all industries like BFSI, FinTech, e-Commerce, and Retail companies are especially advised to have a robust API testing in place.
In early 2024, a big API security breach occurred due to a buggy API that led to unauthorized access of close to 650,000 sensitive messages. This major outbreak not only exposed Office 365 passwords but also enabled unauthorized individuals to extract a ton of confidential information.
Another example that comes to my mind is of Equifax, a credit reporting agency, which suffered a massive data breach in 2017 due to vulnerabilities in its APIs. The breach exposed the personal data of 147 million people and resulted in a $700 million settlement, highlighting the critical need for robust API testing.
Ever Increasing Need for Tester-Centric Tools
This is where tools like qAPI come into play. Unlike traditional API development platforms, qAPI is designed with testers in mind, focusing on the bigger picture of quality assurance.
Here’s how a tester centric tool empowers testers:
End-to-End Coverage: Testers can validate entire workflows—like a payment cycle from card authentication to receipt generation—to ensure seamless user experiences.
Performance at Scale: Performance testing simulates real-world loads, identifying bottlenecks before users do.
Codeless Automation: With AI-driven automation, testers can create robust test cases without writing a single line of code, reducing test cycles by over 60%.
AI-Powered Testing: The rise of AI analyses results, creates assertions, suggests additional use cases, prioritizing critical vulnerabilities for faster fixes.
Why API Testing is Critical from a Tester’s View: Seeing the Big Picture
A payment gateway API for a global bank failed to validate edge cases like duplicate transactions during high traffic periods. This oversight led to customer disputes and operational delays. Post-incident, the bank adopted a holistic API testing strategy, preventing similar issues in the future.
Testers bring a unique perspective to API testing. Unlike developers, they think beyond the API’s individual functionality, focusing on:
User Journeys: Ensuring APIs support seamless end-to-end workflows.
Edge Cases: Simulating scenarios like incomplete data or unexpected user actions.
Negative or Exception test cases: validating authentication and preventing incorrect information from being added to applications/systems.
System Integration: Validating how APIs interact with databases, UIs, and other internal or third-party systems.
Why Testers Need Empowerment
Holistic Quality: Testers ensure APIs to align with business and user needs, not just technical requirements.
Workflow Validation: They simulate real-world processes to uncover hidden bugs.
Efficiency Gains: Tools like qAPI empower testers to focus on strategic testing rather than repetitive tasks.
Our Success Stories:
Our client built a payment gateway API, that passed all developer-run tests but failed during UAT when processing refunds. Testers using qAPI identified the issue—an edge case where negative amounts weren’t validated—preventing customer disputes.
Another success story is about a digital lender offering instant loans which suffered delays during peak hours due to API timeouts. By switching to a tester-centric approach with qAPI, they uncovered and fixed performance bottlenecks, improving transaction success rates by 30%.
The Future—AI-Driven API Testing
AI is transforming API testing in profound ways. Here’s how:
Automated Test Building: API tests are automatically built by simply interacting with a website
Predictive Testing: AI identifies potential edge cases, reducing manual effort.
Intelligent Debugging: Machine learning pinpoints root causes of failures faster.
To give you context to how AI is transforming API testing, a digital bank’s loan processing API faced performance issues when many requests were made at the same time. AI-driven testing facilitated building and executing a performance test that flagged discrepancies in response times, enabling optimizations that improved processing speed by 25%.
There are many success stories around how AI has augmented API testing for an organization and speed up their release cycles. Another such example is of an insurer who used AI to simulate high-volume claims processing, uncovering scalability issues before a major storm. This proactive testing ensured seamless service during a critical period.
API testing isn’t just a technical task—it’s a strategic imperative. Organizations that fail to evolve risk losing customers, revenue, and trust. But those who empower testers with tools that can deliver exceptional quality, building trust and loyalty.
Traditional testing was often limited to tracking individual API calls, but API process testing validates entire workflows, ensuring that every step functions as expected. A payment API, for instance, doesn’t just process transactions; it interacts with fraud detection, banking systems, and notification services.
Without a process testing metric in place, a critical failure—like an order being placed but payment failing—can go unnoticed. Enabling testers to create complex workflows without writing code, making end-to-end validation easier and more reliable.
Impact that a good API testing framework can have
Early Bug Detection: Catch issues in the development phase, reduces last-minute fixes and delays. This “shift-left” approach significantly reduces debugging efforts later in development. For example- A banking app can validate its loan application API’s logic (credit checks, eligibility criteria) long before integrating it into the frontend, avoiding last-minute surprises.
Automated Testing Efficiency : Every time a developer pushes new code for a ride-sharing app, API tests instantly validate critical workflows (booking, payments, driver availability), ensuring that the latest changes don’t break existing functionality. Automating repetitive tests saves time and accelerates development cycles.
Enhanced Reliability : API testing tools can simulate high traffic loads, helping organizations understand how their APIs perform under stress. This ensures that the system can handle peak usage scenarios, preventing downtime or performance drop after deployment.
Data Integrity and Accuracy : It ensures that the data being sent and received by the API is accurate and consistent. This is particularly important for applications that rely on real-time data processing or financial transactions, where even small errors can have significant consequences.
Empowering Agile & DevOps Workflows : APIs are central to DevOps automation, providing instant feedback on application health. With API monitoring systems in place, a SaaS company can detect performance spikes before customers are impacted, this largely contributes to a higher uptime.
78% of high-performing DevOps teams have automated API testing in their pipeline.
An API can always function perfectly under normal conditions but what happens under high load, is always a grey area. API process-performance testing helps teams to beyond verifying correctness; it ensures that APIs perform reliably under different traffic conditions. For instance, imagine a travel booking API that has over thousands of simultaneous flight searches during a holiday sale. If response times degrade or errors spike, users abandon their bookings, directly impacting revenue.
Moving ahead
As we reflect on the evolving landscape of API testing, it becomes clear that this practice is no longer a mere step in the software development lifecycle—it’s a foundational pillar of digital success. APIs are the invisible threads weaving together our interconnected digital world.
Whether it’s a financial institution enabling seamless cross-border payments, an e-commerce platform ensuring glitch-free checkouts during peak sales, or a healthcare provider safeguarding sensitive patient data, robust API testing underpins every meaningful interaction in our modern lives.
The stakes are high, and the need for a paradigm shift is urgent. Developer-centric testing tools, while valuable, are not enough to address the complex workflows and real-world scenarios that define today’s digital ecosystems. This is where tester-centric platforms like qAPI shine, empowering QA teams with the tools, automation, and AI-driven insights they need to test smarter, faster, and more comprehensively.
The future of API testing is bright, driven by innovation and a commitment to quality. It is a future where AI not only predicts and prevents failures but also accelerates the discovery of insights that drive better user experiences. It is a future where every tester is equipped with the resources to become a strategic enabler of success, transforming testing from a reactive process into a proactive, value-adding force.
So, as you navigate the challenges of your digital journey, remember: API testing is not just about finding bugs—it’s about ensuring the resilience, scalability, and reliability of the digital experiences you deliver. Let this blog serve as your call to action. Empower your teams. Invest in the right tools. Rewrite the narrative of API testing and be the architect of a future where quality knows no compromise.
What steps will you take today to redefine the role of API testing in your organization?
The story is yours to write.
API testing focuses on verifying that application programming interfaces (APIs) meet expected functionality, performance, and security standards. It’s important because APIs are the backbone of modern applications, enabling communication between different software systems. As flawed APIs can lead to system crashes, data breaches, and poor user experiences.
* Lack of comprehensive test coverage.
* Insufficient real-world scenario testing.
* Difficulty in automating complex workflows.
* Limited resources and tools tailored for testers, not developers.
To perform API testing, follow these steps: Define the Scope: Identify which APIs and functionalities to test. Prepare Test Cases: Include test scenarios for positive, negative, and edge cases. Select Tools: Use tools like qAPI, Postman, or Swagger for efficient testing. Automate Where Possible: Use automation to reduce repetitive tasks. Execute Tests: Validate requests and responses. Analyze Results: Focus on debugging and resolving issues.
Data Handling: Managing dynamic and large datasets. Test Coverage: Ensuring all scenarios, including edge cases, are tested. Complex Workflows: Handling dependencies across multiple APIs. Automation Challenges: Setting up scripts for complex processes. Frequent Updates: APIs often change, breaking existing tests.
Testers bring a holistic view to API testing by focusing on: User journeys and edge cases. Integration across systems. Early bug detection to reduce downstream costs.
AI-driven API testing uses machine learning to: Predict edge cases. Self-heal test scripts when APIs change. Provide actionable insights for debugging.
API testing integrates into DevOps pipelines for: Continuous Integration and Delivery (CI/CD). Seamlessly integrating in CI/CD pipeline. Shifting left and Early bug detection. Faster release cycles with reliable APIs.
Focus on real-world user workflows. Test for edge cases and system integrations. Automate repetitive tasks for efficiency. Monitor API performance under varying loads.
Invest in tester-centric tools like qAPI. Empower QA teams with automation. Prioritize end-to-end and performance testing. Use AI to predict and prevent failures. Use AI to create test scripts without the knowledge of Javascript coding.
While UI testing focuses on the graphical interface that users interact with, whereas API testing targets the underlying system-to-system communication. API testing is faster, more reliable, and ensures core functionalities work independently of the UI.
Popular tools include: qAPI: A tester-centric tool for end-to-end and performance testing with codeless automation and AI insights. Postman: Great for manual testing by developers. Smartbear SOAP UI & ReadyAPI Smartbear Swagger: Ideal for API documentation and testing.
Automation allows for: Continuous testing during development. Faster identification of issues. Reduced manual effort for repetitive tasks.
TSB Bank (2018): Over £100 million lost due to untested API integrations during a system migration. Equifax (2017): A data breach caused by API vulnerabilities led to a $700 million settlement. E-commerce Platform (Black Friday): A single API dependency failure resulted in a 20% revenue loss.
Functional Testing: Verifies that APIs meet specified requirements (e.g., correct responses). Performance Testing: Assesses how APIs perform under load or stress, ensuring scalability and reliability.
Increased use of AI for smarter testing. Greater emphasis on tester-centric tools. Enhanced integration with CI/CD pipelines.
About the Client
PatelCo Credit Union is a member-owned, not-for-profit credit union. It has over $9 billion in assets and 450,000 members across the country. It is one of the oldest and largest credit unions in the United States.
The client’s mission is to improve their members’ financial lives. They aim to guide them toward financial responsibility. They believe that supporting everyday needs help people manage their day-to-day financial lives more comfortably. Their goal is to be the preeminent credit union that builds your financial wellbeing.
The Challenge
With more users relying on native mobile apps for daily tasks, PatelCo Credit Union had to start the digital shift. This created a sense of urgency for them to address critical challenges to improve their speed to market. To get this right, PatelCo Credit Union needed to begin native mobile testing.
They realized their existing tools lacked the required capability. And started exploring other mobile automation solutions. Qyrus not only proved to be a perfect fit but also offered real device testing—a key factor in their decision. In this case study, you will learn how and why PatelCo Credit Union chose Qyrus. And how they leveraged Qyrus to accelerate their automation journey.
Life with Qyrus
PatelCo Credit Union started their journey with Qyrus in January of 2024. They started using Web testing, expanding over to Mobile testing over time. Overall, they have licenses spread across our Web and Mobile testing services.
At the start, as with anything new, especially a software testing automation tool, there was a learning curve. Thankfully, with the guidance of the Qyrus team and a bit of practice, they quickly became comfortable with the platform overall.
Today, PatelCo Credit Union finds themselves taking around 1 day to build out test scripts. Due to this, there was an increase in test coverage. This was not just due to their expansion into native mobile testing, but also in their web testing as well.
Key Features Used
Recorders: Qyrus’ recorders for both web and mobile testing helped to streamline and simplify test building for PatelCo. Making script building more accessible to less technical members and to manual tester is a key way to speed up the testing process.
Inspect Mode: For Mobile test building, testers can make use of this mode to better inspect element details and attributes, getting element info at the click of a button.
Future Dreams
In the future, PatelCo Credit Union hopes to start performing end-to-end testing. They have plans to start expanding into Qyrus’ Component testing service, which would help them to achieve this goal and ensure a flawless user experience across PatelCo Credit Union online banking.
This would allow for the seamless testing of end-to-end business processes across web and mobile applications, perform and make assertions on API calls, and even test processes requiring desktop applications, all in one execution. Furthermore, the client hopes to introduce more native mobile testing as well as API testing and data testing automation. Lastly, they want to integrate this entire process into their CI/CD pipeline.
Results & Outcomes
As a result, PatelCo Credit Union was able to finally able to start expansion into native mobile application testing. They had considered this a great accomplishment, as this was a large hole in their software testing process from before. Just Now, with the introduction of Qyrus, they can push further to more API testing as well as end-to-end business process testing using Component testing.
Conclusion
In conclusion, PatelCo Credit Union’s transition to Qyrus for native mobile test automation has been a significant milestone in their digital transformation journey. By adopting Qyrus, PatelCo has not only filled a critical gap in their testing capabilities but also enhanced their overall test coverage and efficiency.
The successful integration of Qyrus has empowered PatelCo to better serve their members by ensuring a seamless and reliable user experience across both web and mobile platforms. Looking ahead, PatelCo is well positioned to continue expanding their testing capabilities with plans to incorporate end-to-end and API testing, and further integrations into their CI/CD pipeline. This strategic move underscores PatelCo’s commitment to innovation and excellence in financial services, paving the way for a more robust and future-ready digital infrastructure.
Your World is Not Enough
SAP stands as a cornerstone for every business where efficiency and precision are paramount. The SAP ecosystem, encompassing solutions like S/4 HANA, SAP ECC, SAP Fiori Apps, and SuccessFactors, supports critical business processes across industries. Yet, its complexity often turns testing new innovations into a bottleneck, delaying deployments and increasing costs.
Navigating the SAP Testing maze is challenging. Reasons being:
Diverse modules and customizations complicate test coverage
Frequent updates and patches demand constant testing
Integration complexities with CI/CD pipelines hinder agile practices
High dependency on manual testing and piecemeal automation leads to errors and delays
For businesses striving to remain competitive, robust, and effective, automated testing for SAP is not optional—it’s existential.
Quantum of Solace
Enter Qyrus SAP Testing platform. It is a cutting-edge, AI-powered SAP automation testing tool offering faster execution, cost efficiency, and unparalleled accuracy. The platform bridges the gap between complexity and simplicity with its all-in-one, end-to-end automation capabilities that addresses the limitations in the market. Designed for enterprises of all sizes, Qyrus integrates seamlessly into systems, ensuring continuous testing and rapid feedback, resulting in superior business outcomes:
Increased Efficiency: With reusable automation and a hybrid approach, you can achieve up to 50% faster test execution, freeing up manual resources for strategic initiatives.
Cost Optimization: Intelligent automation lowers operational and testing expenses, cutting costs by over 35% without compromising quality.
Impressive Coverage: Ensures the highest industry coverage of core SAP functionalities with zero code.
Advantage Qyrus: Core Competencies That Set Us Apart
Inside-Out Hybrid Approach, Test Orchestration, and Objective-based Testing have been the foundations of testing innovation at Qyrus, and the Qyrus SAP automation testing tool is sitting right at the intersection of these pillars of transformation. In order to push the boundaries of what’s possible in automated testing for SAP, we have engineered capabilities around automated test generation, comprehensive end-to-end workflow validation, and intelligent error diagnosis. With the features mentioned below, Qyrus ensures unparalleled test coverage and efficiency in testing SAP applications.
AI-Powered Test Orchestration: An unmatchable suite of Single-Use Agents (SUAs) not only generates test cases automatically but orchestrates their entire execution, ensuring maximum coverage and minimum test time.
Qyrus DataChain: Generate realistic, compliant test data at lightning speed, ensuring full coverage without the need for production data.
Qyrus Accelerated Regression Suite (ARS): Accelerate SAP regression testing with a script-less framework to cover Recruit to Retire, Lead to Cash, Source to Pay, Plan to Fulfil
Qyrus Document Exchange Testing (IDoc): Offers deeper discrepancy detection to ensure seamless data exchange within your SAP environment.
Shift-left Detection: Identifies and fixes issues early by focusing on core functionalities within SAP before they affect users.
Extensive Module Support: Covers diverse SAP environments, including both standard and custom solutions including hybrid applications.
Why Qyrus for SAP Testing?
Holistic Testing Qyrus is more than a testing tool—it’s a comprehensive solution that covers web, mobile, API, and SAP environments, ensuring consistency and scalability.
No-Code Interface Designed for ease of use, Qyrus empowers non-technical teams to contribute effectively, reducing dependency on specialized resources.
AI-Augmented Insights With features like SAP Scribe and Test Data Analyzer, Qyrus provides actionable insights that enhance decision-making and testing accuracy.
Industry Recognition Our introductory rollouts to select customers and independent tech reviewers are earning rave reviews. This positive feedback validates our commitment to testing innovation. Also, it reinforces the industry reputation that Qyrus is the most trusted testing platform for mid-market and enterprises worldwide.
As businesses increasingly adopt agile and DevOps methodologies, the demand for intelligent, automated testing solutions will only grow. The SAP testing market is projected to reach $1.14 billion by 2030. With its innovative approach and proven results, Qyrus is poised to lead this transformation, helping organizations achieve seamless operations, derisked transformations, and optimized costs. For example, an automotive manufacturer reduced their testing time by 40% with Qyrus, while a leading bank significantly streamlined its regression testing across partner ecosystems.
Your Move
Qyrus redefines SAP testing, offering a smarter, faster, and more cost-effective solution to modern business challenges. By leveraging AI, automation, and comprehensive testing capabilities, Qyrus not only meets but also exceeds the demands of today’s dynamic SAP environments. Whether you’re navigating a complex migration, managing frequent updates, or striving for continuous improvement, Qyrus is the partner you need to succeed.
Experience the future of SAP testing with Qyrus. Start your free trial today.
Join us for an insightful webinar with Forrester analysts and experts from Qyrus. This discussion lets you explore the principles of Testonomics and shows you to exploit it with Qyrus, AI-powered, end to end test automation platform. You’ll learn about significant time savings, cost reductions, improved quality, continuous innovation, and scalability.
Speakers:
Diego Lo Guidice, VP & Principal Analyst, Forrester
Ravi Sundaram, President, Qyrus Operations
Sruti Pegatraju, Consultant, Forrester
Date & Time:
9:30 AM CST – 10.30 AM CST | Thursday, 7th November 2024
Overview:
Modern testing is no longer solely about identifying bugs. It has evolved into a strategic process that enhances overall business value by boosting efficiency, cutting costs, and accelerating time-to-market. This evolution has sparked the emergence of Testonomics— the science of maximizing business value through optimized testing that emphasizes on the economic advantages of integrating AI into the testing process, reshaping how businesses approach quality assurance and development cycles.
The principles of Testonomics— Timeonomics, Costonomics, Autonomics, Qualitynomics, and Growthonomics —are crucial to the success of any modern business. Qyrus delivers on these principles, providing businesses with a comprehensive, AI-driven test automation platform that turns testing into a powerful engine for growth and efficiency. By embracing Testonomics, businesses can unlock untapped value and transform their testing strategies into economic assets.
Key Takeaways from the Webinar: What you’ll Learn
Explore the current advancements and trends shaping the future of testing with AI being at the forefront of such transformation.
Gain exclusive insights from the Forrester Total Economic Impact (TEI) report on how Qyrus is delivering significant financial and business benefits.
Experience a live demonstration of Qyrus to better understand how it can streamline your testing processes, enhance efficiency, and deliver measurable economic value.
Don’t miss this opportunity to learn how to transform your testing approach into a powerful driver of business success!
Welcome to the third part of Zero Complexity API Testing!
We hope you had a chance to read the Part I and Part II. If not, you can read it here:
The “Zero Complexity API Testing” is a three-part blog series that highlights the vital importance of API testing, breaks down barriers with AI, and unlocks new possibilities in the future of API Testing.
We all have questions about API testing automation. Some of the basics, like “What is API testing process?” or “Can you QA test on APIs?” are readily available off the internet. This blog series dives much deeper into the nuances of API testing with the help of a real-life scenario.
In Zero Complexity API Testing—Part I, we covered the critical role of API testing and the challenges faced by UI testers moving to API testing. We saw how Emily, a lead tester at a rapidly growing e-commerce company, faced an API glitch that caused frustration and confusion among the customers. In spite of knowing what the API testing process is, Emily chose to make it an optional process, leading to a panic situation.
In Part II, we discussed how Emily’s team could have avoided the above situation with Qyrus’ codeless testing capabilities for APIs. We saw how Qyrus simplified the testing journey by creation and execution of API tests, making them accessible to non-technical testers. We also covered AI in API testing and Qyrus’ support for codeless assertions, API specification imports, data-driven testing, API chaining, and AI-assisted assertions.
In Part III (this blog), we’ll discuss the future of API testing with Qyrus.
With Qyrus, Emily’s team transformed their approach to API testing. The simplicity and power of Qyrus allowed them to focus on improving the overall quality of their e-commerce platform. They were no longer worried about the technical complexities or time-consuming setups. Instead, they could confidently test their APIs, knowing that Qyrus had their back on the testing journey.
Empowering Teams with AI and Advanced Features
The AI-assisted assertions and performance testing capabilities of Qyrus empowered Emily’s team to achieve more in less time. They could ensure that their APIs were functional, reliable, and performant without getting bogged down in the technical details. The support for multiple API types and the Qyrus API Discovery Chrome plugin further enhanced their testing capabilities, making Qyrus an indispensable tool in their testing journey.
Unlocking the Future of Software Testing with New Possibilities
Qyrus opened up a world of possibilities for Emily’s team:
Enhanced Test Coverage: With codeless testing and AI-assisted assertions, Emily’s team could quickly create comprehensive test cases that covered all aspects of their APIs. This improved their test coverage and reduced the risk of critical bugs slipping into production. A quick read that may interest you: Redefining Test Coverage with AI and Machine Learning
Scalable Performance Testing: Leveraging the elasticity of the cloud, Qyrus enabled Emily’s team to run large-scale performance tests that simulated thousands of concurrent users. This ensured that their APIs could handle high traffic and maintained optimal performance under load. Read now: Best Way to Capture the Performance Metrics of Your API Testing
Efficient Test Maintenance: By importing API specifications and supporting data-driven testing, Qyrus simplified the process of maintaining test cases as APIs evolved. Emily’s team could easily update their tests to reflect changes in the API, ensuring that their test suite remained up-to-date and relevant.
Seamless Integration: Qyrus’s ability to support multiple API types and integrate with existing tools made it easy for Emily’s team to incorporate API testing into their existing workflows. This seamless integration reduced the overhead of managing separate testing tools and allowed for a more streamlined testing process.
Real-World Simulation: With API chaining and data plumbing, Qyrus allowed Emily’s team to create realistic test scenarios that mirrored real-world interactions. This ensured that their tests accurately reflected how users interacted with their platform, providing greater confidence in the reliability of their APIs.
Do you relate to Emily’s story? Are you facing similar challenges with API testing in your organization? Just like Emily, you can transform your API testing journey with Qyrus.
API testing is crucial for ensuring the functionality and reliability of modern software applications. Traditional API testing tools can be complex and time-consuming, but Qyrus simplifies the process with its codeless approach, AI-assisted assertions, and robust features. By making API testing accessible to semi-technical testers, Qyrus empowers more teams to embrace the power of API testing and deliver high-quality software.
Experience the future of software testing with Qyrus and elevate your testing capabilities to new heights. With Qyrus, API testing becomes a seamless, efficient, and integral part of your development process, ensuring that your software is always reliable and robust. Try Qyrus today and see the difference for yourself.
The mobile app industry has been booming, driven by the widespread adoption of smartphones and tablets. As more people rely on their mobile devices for everything from communication and entertainment to shopping and productivity, the demand for innovative and high-quality mobile apps continues to soar. According to Tech Jury,87% of smartphone users spend their mobile time on apps, and every smartphone user uses at least 10 apps daily. The mobile app industry is forecasted to generate over $522 billion in earnings by 2024.
With mobile apps experiencing explosive growth, mobile app delivery has become crucial to every successful business. The process involves a series of steps, right from initial development and testing to deployment and maintenance. Effective mobile app delivery ensures that the app is released on time, meets quality standards, and provides a seamless user experience.
One of the best practices for mobile app delivery is prioritizing testing with AI-powered test automation platformsQyrus is one of the best automation mobile testing tools. It offers a range of advanced features designed to accelerate mobile app delivery while maintaining high standards. Let’s explore how these features can transform your mobile CI/CD process.
1. AI-Powered Test Creation
Qyrus leverages AI to speed up test script creation:
Generate test scenarios from Jira tickets:
Select a linked Jira configuration
Enter a Jira issue ID
AI generates relevant test scenarios based on the ticket information
Create scripts from user descriptions:
Provide a description of the desired test
AI generates multiple test scenarios
Select and create the most relevant scenarios
Benefits:
Quickly create comprehensive test suites without manual effort
Reduce the time spent on test case design and implementation
Ensure consistent test coverage across different features
2. Visual Testing Capabilities
Qyrus includes visual regression testing to catch UI issues early:
Baseline Execution:
Run a test on the current version of your app
This execution becomes the baseline for future comparisons
Visual Regression Testing:
Enable “Visual Regression” toggle during test execution
Select a baseline execution for comparison
Qyrus automatically detects and highlights visual changes
Requirements:
Tests must be run on the same device as the baseline
The script must not have been modified since the baseline execution
Benefits:
Automatically detect visual changes in your app
Ensure consistent user experience across different devices and OS versions
Catch unintended UI changes early in the development process
Runs multiple tests simultaneously across available devices
Significantly reduces overall execution time for large test suites
Additional execution options:
Dry Run: Validate scripts without affecting overall test reports
Scheduled Execution: Set up recurring tests (hourly, daily, weekly)
OTP Handling: Special mode for tests involving one-time passwords
8. Advanced Configuration Options
Qyrus provides additional features to enhance your testing process:
Environment Variables: Manage different configurations for various environments
Database Configuration: Connect to databases for data-driven testing or verification
File Management: Upload and manage files for use in your test scripts
9. Comprehensive Reporting
Qyrus generates detailed reports to help quickly identify and address issues:
Step-by-Step Results: View pass/fail status for each test step
Screenshots: Capture screenshots at each step for visual verification
Execution Logs: Access detailed logs for troubleshooting
Visual Test Reports: Compare visual changes in UI tests
Aggregated Results: Get an overview of test suite performance
By leveraging these advanced features, teams using Qyrus can significantly accelerate their mobile app delivery. From AI-assisted test creation to smart test maintenance and flexible execution options, Qyrus provides the tools needed to implement a fast, efficient, and reliable mobile CI/CD pipeline.
Remember to continuously evaluate and optimize your use of these features to best suit your team’s needs and development process. With Qyrus, you have the power to create a tailored, high-performance mobile testing environment that can keep pace with the demands of modern app development.
Welcome to the second part of Zero Complexity API Testing!
The “Zero Complexity API Testing” is a three-part blog series that highlights the vital importance of API testing, breaks down barriers with AI, and unlocks new possibilities in the future of API Testing.
We all have questions about API testing automation. Some of the basics, like “What is API testing process?” or “Can you QA test on APIs?” are readily available off the internet. This blog series dives much deeper into the nuances of API testing with the help of a real-life scenario.
In Zero Complexity API Testing—Part I, we covered the critical role of API testing and the challenges faced by UI testers moving to API testing. We saw how Emily, a lead tester at a rapidly growing e-commerce company, faced an API glitch that caused frustration and confusion among the customers. In spite of knowing what the API testing process is, Emily chose to make it an optional process, leading to a panic situation.
In Part II (this blog), we’ll discuss how Emily’s team could have avoided the above situation with Qyrus’ codeless testing capabilities for APIs. We’ll discuss how Qyrus simplifies the creation and execution of API tests, making them accessible to non-technical testers.
The blog also covers AI in API testing and Qyrus’ support for codeless assertions, API specification imports, data-driven testing, API chaining, and AI-assisted assertions. Additionally, it mentions Qyrus’ ability to perform performance testing with massive loads.
Overall, the blog emphasizes how Qyrus empowers teams to efficiently test their APIs, ensuring their functionality, reliability, and performance.
Let’s examine how Emily could have used Qyrus, an API testing tool, to overcome her team’s challenges.
Codeless Testing for APIs
One of the standout features of Qyrus is its ability to enable codeless testing for APIs. This feature allowed Emily’s team to create and execute API tests without writing a single line of code. The intuitive interface meant that even the most non-technical testers could quickly get up to speed. This democratized API testing, making it accessible to everyone on her team.
With Qyrus, setting up an API test is as simple as selecting the API endpoint, specifying the request parameters, and defining the expected response. This simplicity ensures that Emily’s team can quickly create comprehensive test cases without getting bogged down in technical details.
Codeless Assertions
Adding assertions for headers, body, JSON Path, and schema was as simple as clicking a few buttons. This ensured that the API responses met the expected criteria without the need for complex scripts. Emily’s team could easily verify that the APIs were returning the correct data and behaving as expected, significantly improving test coverage and reliability.
Qyrus provides a user-friendly interface for defining assertions. Testers can specify expected values for headers and response bodies, check JSON Path expressions, and validate response schemas. The platform also supports complex assertions, such as verifying nested JSON structures and checking for the presence of specific keys and values.
Importing API Specifications
Qyrus supports importing API specifications through OpenAPI Spec/Swagger doc, Postman Collection, or manual entry. This flexibility allowed Emily’s team to get started with their existing API documentation quickly. They could import API specs effortlessly and begin testing immediately, saving valuable time and effort.
By importing API specifications, Qyrus automatically generates test cases for each endpoint, complete with sample requests and expected responses. This automation accelerates the test creation process and ensures that all endpoints are thoroughly tested.
Data-Driven API Testing
Qyrus enabled data-driven testing, allowing her team to use external data sources to drive API tests. This ensured that APIs were tested under various conditions, improving overall test coverage. Emily’s team could simulate different scenarios and data inputs, ensuring the robustness of their APIs.
With data-driven testing, Qyrus allows testers to define test data sets in CSV or JSON format and link them to API test cases. This enables comprehensive testing with multiple data variations, such as different user profiles, transaction amounts, and order details.
API Chaining and Data Plumbing
Qyrus allowed the team to chain APIs together, passing data from one API to another. For instance, a JSON Path value from one API could be used as a header in the following API. This capability simulated real-world API interactions and workflows, enhancing the robustness of their tests. Emily’s team could test complex API interactions seamlessly, ensuring their system worked end-to-end flawlessly.
API chaining in Qyrus enables testers to create end-to-end test scenarios that mirror real-world usage. For example, a test case might involve creating a new user account, adding items to a shopping cart, and processing a payment—all within a single, cohesive test.
Beyond Functional Testing – The AI and Performance Edge with Qyrus
AI-Assisted Assertions
One of the most powerful features of Qyrus is its AI-assisted assertions. The AI model in Qyrus analyzed API responses and suggested appropriate assertions, speeding up the test creation process and ensuring comprehensive coverage. This was a game changer for Emily’s team, who could now focus on more critical testing tasks while the AI handled the mundane, repetitive aspects of test creation.
Qyrus’s AI engine leverages machine learning algorithms to analyze API responses and identify key data points. It then suggests assertions based on common patterns and expected values, reducing the time and effort required to create comprehensive test cases. This intelligent automation ensures that no critical validation is overlooked.
Performance Testing with Massive Loads
With Qyrus, Emily’s team could run performance tests on the same APIs without any changes. The cloud-based infrastructure of Qyrus leveraged the elasticity of the cloud to run performance tests with massive loads, ensuring that APIs could handle high traffic. This feature allowed Emily’s team to ensure that their APIs were not only functional but also scalable and performant under heavy loads.
Qyrus supports performance testing by simulating thousands of concurrent users and generating high volumes of requests. Testers can define performance criteria, such as response time thresholds and error rates, and monitor the API’s performance under different load conditions. Qyrus provides detailed performance reports, highlighting any bottlenecks and areas for improvement.
Support for Multiple API Types
Qyrus supports GraphQL, REST, and SOAP APIs, with Kafka support coming soon. This broad compatibility meant that Qyrus could be used across different projects and technology stacks within Emily’s company. Regardless of the API technology they used, Qyrus provided a unified platform for testing.
Qyrus’s multi-protocol support ensures that testers can seamlessly switch between different API types without learning new tools or workflows. Regardless of the underlying API technology, the platform’s consistent interface and feature set simplify the testing process.
Qyrus’ API Discovery Chrome Plugin
Qyrus’ API Discovery Chrome plugin was a revelation. It helped Emily’s team extract relevant APIs from their web application, generate assertions, and export them as test suites in Qyrus API testing. This feature turned manual web testing into a source of automated API tests, significantly improving test coverage and efficiency.
The API Discovery plugin integrates directly with the Chrome browser, allowing testers to capture API calls made by the web application during manual testing sessions. Based on the captured data, the plugin automatically generates test cases and assertions, streamlining the transition from manual to automated testing.
Sneak Peek into Part III: Future of API Testing – Unlocking New Possibilities
Now that Emily’s team has transformed its API testing approach with Qyrus, it can focus on the overall quality of its e-commerce platform.
By leveraging AI-assisted assertions and advanced features, Qyrus empowered them to achieve more in less time. With enhanced test coverage, scalable performance testing, and efficient test maintenance, Qyrus unlocked new possibilities for Emily’s team.
Stay tuned for Part III, where we talk about the future of API testing and uncover new possibilities in the testing space. Try the Freemium version now to experience the power of fast and insightful API automation testing!
Traditional manual testing methods are time-consuming and prone to human error. To address these challenges, automation testing has emerged as a vital component of modern development pipelines. By automating repetitive test cases, teams can significantly accelerate their development cycles, improve product quality, and reduce the risk of costly defects.
What is CI/CD?
Continuous Integration (CI) and Continuous Delivery (CD) CI/CD pipelines have become the cornerstone of modern software development practices. CI involves frequently integrating code changes into a shared repository, followed by automated builds and tests. CD extends this process by automatically deploying tested code to production environments. CI/CD pipelines enable teams to deliver software updates more rapidly and reliably by streamlining the development and deployment process.
Automation Testing Tools for CI/CD
As mobile app development becomes increasingly complex, integrating robust testing tools into your CI/CD pipeline is crucial. It is essential for ensuring the quality and reliability of your software. By automating test cases, you can significantly improve efficiency, reduce risks, and accelerate your development process.
One of the best testing tools for CI/CD is Qyrus. It offers seamless integration capabilities that can enhance your existing workflow and improve your app quality. Let’s explore how to effectively integrate Qyrus into your mobile CI/CD pipeline.
Version Control Integration
Qyrus supports integration with popular version control systems, allowing your test scripts to evolve alongside your application code:
While Qyrus doesn’t mention specific CI server integrations, its robust API support allows for easy integration with popular CI tools like Jenkins, GitLab CI, or CircleCI. You can trigger Qyrus test executions as part of your CI pipeline, ensuring that every code change is thoroughly tested.
Test Management Tool Integration
Xray Integration
Configuration:
Set up Xray client ID and secret
Connect to Jira configuration
Select Jira projects
Usage:
Link Qyrus scripts to Xray issues
Execute tests and automatically update Xray with results
Want to know how Qyrus can make your testing more efficient with Xray Integration? Click here
TestRail Integration
Configuration:
Provide TestRail account details
Select TestRail and Qyrus projects to link
Usage:
Link Qyrus test cases to TestRail test runs
Automatically update TestRail with execution results
Support for relinking test suites to different TestRail runs
Version Control: Keep test scripts synchronized with application code
Continuous Integration: Trigger Qyrus tests automatically on code changes
Test Management: Maintain traceability from requirements to test results
Collaboration: Keep the team informed with real-time notifications
This integrated approach enables:
Faster feedback loops
Improved collaboration between development and QA teams
More efficient development cycles
Higher overall app quality
Remember to regularly review and update your integration configurations to ensure they continue to meet your team’s evolving needs. With Qyrus‘ flexible integration options, you can create a tailored CI/CD pipeline that optimizes your mobile app development process.
As a tester, you play a crucial role in delivering high-quality mobile apps. However, ensuring top-notch quality for mobile apps requires efficient and reliable development processes. Continuous Integration and Continuous Delivery (CI/CD) pipelines play a crucial role in automating the processes, ensuring faster time-to-market and improved product quality.
Automation testing is a key component of CI/CD pipelines, automating the execution of test cases to identify defects early in the development cycle. However, testing mobile apps presents unique challenges due to factors such as device fragmentation, platform variations, complex user interactions, frequent updates and releases, limited resources, and manual testing overheads.
By leveraging automation testing platforms such as Qyrus, developers and QA teams can significantly improve their efficiency, productivity, and the overall quality of mobile applications.
Below is a CI/CD guide on how to get started with Qyrus. This blog covers how the platform’s advanced features can help you streamline your mobile CI/CD process.
Getting Started with Qyrus
Setting up your mobile CI/CD pipeline in Qyrus is straightforward:
Team Setup: Create a team of users with access to your test projects. A team lead typically does this once, ensuring proper access control.
Project Setup: Organize your test suites and configurations within a project. To create a project:
Click on the “New Project” button
Provide a name, description, and select the device type (Android or iOS)
Click “Create Project”
App Upload: Easily upload your Android (APK) or iOS (IPA) applications for testing. You can do this right after project creation or later in the “Setup” tab under “Application Management”.
Suite Setup: Group related test scripts together in suites. You can create suites manually or use AI-assisted creation:
For manual creation, click “Create Suite Manually” and provide a name and module description
For AI-assisted creation, use JIRA tickets or custom descriptions to generate test scenarios
Script Setup: Create individual test scripts to automate your app testing. Qyrus offers multiple ways to create scripts:
Manual creation using the Live Test feature
AI-assisted creation from JIRA tickets or custom descriptions
Import from JSON or CSV files
Import from Rover* (Qyrus’ Exploratory AI tester)
Key Features for Mobile CI/CD
Qyrus offers several features that enhance your CI/CD (mobile) workflow:
Live Testing: Connect and interact with a real device while building your test scripts. This feature allows you to:
Select a device from your device pool
Choose between “Install App” or “Launch App” configurations
Interact with the device in real-time to create accurate test steps
Record Mode: Capture your actions on the device and automatically convert them into test steps. This mode supports:
Taps, long presses, and swipes
Text input and verification
Navigation actions like “Go Back” and “Press Home”
Inspect Mode: Easily find locator types and values to create accurate test steps. This mode allows you to:
Click on elements to populate locator information automatically
Change locator types on the fly
Verify elements before adding them to your test script
Parameterization: Use data-driven testing to cover multiple scenarios efficiently. You can:
Upload Excel sheets with test data
Use variables in your test steps
Run the same script with multiple data sets
API Testing: Incorporate API calls directly into your test scripts for end-to-end testing. Supported methods include:
GET, POST, PUT, and DELETE
Query parameters, headers, and request body customization
Response data extraction for use in subsequent steps
Execution and Reporting
Qyrus provides flexible execution options:
Single script execution: Run individual scripts for targeted testing
Multiple script execution: Select and run multiple scripts simultaneously
Suite execution: Execute all scripts within a suite
Dry runs: Validate scripts without affecting overall test reports
Execution configuration options include:
Selecting single devices or device pools
Choosing between “First Available” or “Device Coverage” execution strategies
Setting up scheduled runs (one-time, weekly, daily, or hourly)
After execution, detailed reports help you quickly identify and address any issues in your app. The reporting features include:
Healer: An AI tool that helps find new locators for failed steps, reducing maintenance efforts.
Device Pool Management: Create logical groups of devices for comprehensive testing coverage.
By leveraging Qyrus’ features, teams can significantly accelerate their mobile CI/CD process, leading to faster development cycles and higher-quality apps. Whether you’re new to mobile CI/CD or looking to optimize your existing process, Qyrus provides the tools and flexibility to meet your needs. Try our free trial now and see for yourself!
Case Study: A leading bank in the UK achieved significant reductions in testing time and increased test case throughput with Qyrus, leading to operational efficiencies and cost savings.
