Imagine embarking on a thrilling journey, armed with a mystical spyglass that grants you the ability to unravel the enigmatic workings of ancient relics. As you venture through the labyrinth of hidden treasures, the spyglass reveals secrets that once eluded your grasp. In the realm of software testing, a parallel unfolds with the advent of QSpy – a wondrous tool by Qyrus that unlocks the mysterious landscape of desktop applications. Much like an enchanted spyglass, QSpy empowers testing teams to uncover the hidden locators and coordinates, navigating through the complex Windows desktop applications and legacy applications like SAP. Step into the realm of QSpy, and witness the magic that revolutionizes the art of testing, effortlessly illuminating the path to seamless automation and enchanted quality assurance. Welcome to this week’s Feature Friday, where we will explore QSpy in Qyrus Desktop Testing. We have Milton Par and Amairani Lopez who will dive into the enhanced features and use cases of this valuable tool.
Tell us more about QSpy by Qyrus and its use cases.
Milton: QSpy is an innovative application by Qyrus that facilitates obtaining locator values and element coordinates from various desktop and legacy applications like SAP. It simplifies the script-building process by automatically adding these locator values and coordinates into your test scripts.
Amy: QSpy’s ability to detect locator values such as Name and ID with a Control Type, along with its highlight feature, makes it a powerful tool for precise element identification and smoother test automation.
What is QSpy’s overall impact on the testing process?
Milton: QSpy significantly streamlines the test preparation phase by eliminating the manual effort of locating elements in desktop apps. It reduces script creation time and enhances test script accuracy, ultimately leading to improved testing efficiency.
Amy: Absolutely! This feature empowers testers with an effortless way to extract locator values and coordinates, minimizing human error and increasing the reliability of test automation. Furthermore, the “Always on Top” functionality stands as a beacon of convenience, allowing testers to have QSpy seamlessly at their side throughout the testing journey. No more toggling between windows, no more interruptions – QSpy remains within reach, making the process of grabbing locator values and building scripts an uninterrupted and smooth endeavor. With this powerful combination of precise identification and uninterrupted accessibility, QSpy transforms the testing experience, unlocking unparalleled productivity and confidence for all users.
How might QSpy help testers, developers, and business technologists? What value can this feature bring?
Milton: For testers, QSpy saves valuable time and effort spent on locating elements in desktop applications, allowing them to focus on writing effective test scripts and analyzing results. The combination of QSpy and Qyrus’s low-code, no-code step builder empowers even non-technical business technologists to build scripts without any coding background, streamlining the entire testing process and fostering collaboration across teams.
Amy: Developers can benefit from the precise element identification, which ensures stable automation scripts and quicker debugging during the development phase. With QSpy seamlessly integrated into Qyrus, testers can easily run these tests on any registered Windows or Mac machine, facilitating smooth and efficient test execution across various environments. This comprehensive approach to desktop testing enhances the overall development lifecycle, promoting faster releases and ensuring exceptional software quality.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Milton: While other tools may offer basic locator detection, QSpy’s integrated highlight feature and the seamless integration within Qyrus’s low-code, no-code framework set it apart from competitors, providing users with a unique and efficient experience.
Amy: Qyrus’s QSpy addresses the challenges of element identification in desktop applications, making it a standout feature in the testing domain.
How do you see QSpy impacting day-to-day operations across organizations?
Milton: QSpy’s ease of use and powerful element detection capabilities will revolutionize the way testing teams handle desktop application testing. It will result in more accurate test automation, shorter testing cycles, and increased productivity.
Amy: Organizations can expect faster script building, reduced maintenance efforts, and a more robust testing process, ultimately contributing to better product quality and customer satisfaction.
QSpy in Qyrus Desktop Testing introduces a cutting-edge solution to streamline the process of obtaining locator values and element coordinates from desktop applications. Its impact on test automation efficiency, test script reliability, and overall testing productivity makes it an indispensable feature for all users. In the magical world of Qyrus desktop testing, QSpy shines as the guiding light, bridging the gap between testers, developers, and business technologists. As the quest for quality assurance continues, QSpy will remain an unwavering companion, illuminating the path to seamless automation and enchanting quality. Embrace the magic of QSpy, for it unlocks the secrets of desktop applications and leads us to a realm where testing transcends the ordinary, becoming a wondrous journey of discovery and excellence.
Fortify your Web Testing with Test Recorder, now available as a featured extension on the Chrome browser.
In today’s digital age, where websites and web applications reign supreme, the importance of efficient testing tools cannot be overstated. Just picture this – countless engineering teams toiling away, facing the daunting challenges posed by outdated and clunky tools. It’s no wonder they often struggle to meet deadlines and deliver top-notch results. But fear not!
Qyrus and its game-changing test screen recorder are here to save the day. We’re all about re-imagining web testing and empowering engineering teams to work smarter, not harder. So buckle up and join us as we uncover the benefits of using efficient tools for web testing, and how they can transform how you build and test your software.
Why Web Testing needs better tools
Compatibility Issues are Prominent With a multitude of browsers, operating systems, and devices ensuring that a website functions correctly across all platforms can be a significant challenge.
Dynamic Content requires in-depth Testing Websites with dynamic content that change based on user interactions or real-time changes can be difficult to test, given the analysis of dynamic updates, user flow verification, and non-intrusive observation capabilities required. Too few tools tackle all these challenges, and fewer still do so effectively.
Performance Issues cause Bottlenecks Load times, response times, and the ability to handle multiple users simultaneously are all crucial aspects of web testing. Identifying bottlenecks and performance issues can be complex and time-consuming. With the increasing prevalence of cyber threats, ensuring a website’s security is a major concern. Testing for vulnerabilities and potential exploits is a critical part of web testing, which can be time-consuming when done manually.
Enhancing User Experience is pivotal Ensuring a website is user-friendly and providing a positive user experience is challenging. This includes testing the navigation, layout, design elements, and more.
Automation doesn’t fix everything While automation can speed up the testing process, creating automated tests for complex web applications can be a challenge, owing to the complexity of web testing scenarios, resource constraints, and limited interoperability and compatibility, among other things. There is a need for tools that can bridge this gap while reducing the overall testing complexity.
Continuous Updates require Continuous Testing Websites are continuously updated with content, functionality, and design changes. This means, to maintain a secure and seamless user experience, there needs to be continuous testing on all updates.
In today’s digital world, engineering teams can’t afford to overlook the importance of using top-notch web testing tools. Manual testing alone just doesn’t cut it anymore, especially with the ever-increasing complexity of web applications. We’re talking about automation and robust tools here! And let’s not forget the cost of poor testing tools on a business – we’re talking about lost revenue, unhappy customers, and a tarnished reputation. Investing in better web testing tools is the key to optimizing performance, boosting security, and ensuring the success of your business.
Introducing: Qyrus’ Test Recorder
Qyrus’ Web Test Recorder is the newest feature addition to our Web Testing Solutions. A notch above our previous web test recorder, this is an AI-powered, Cloud-native solution to codeless web testing, swiftly eliminating all web testing woes faced by an engineering team. Everything about this feature is built to fortify web testing processes, to meet high standards of code standardization and code security.
Similar to other web recorders, our free web recorder captures all your actions based on your clicks. This helps teams build tests as not only does it help preserve data from different testing scripts and environments, but it also allows you to execute tests faster across different browsers and devices. Our previous website recorder allowed you with dynamic data handling, and building tests on localhost apps. Our new and improved web recorder goes a step further allowing you to also put a particular test on pause, and resume working on it after some time if needed!
But that’s not all! Our free web recorder was used by teams as a web screen recorder through our screen recorder Chrome Extension. Recently, we were awarded the honor of the Encapsulatebadge by the Chrome Web Store. The Test Recorder is now a Google Chrome store-featured staple!
“It’s a proud moment for the Qyrus team as our Web recorder – Encapsulate now carries a “Featured” badge on the Chrome web store. A featured badge is only given to extensions which provide great user experience, and follow Google recommended technical best practices.” – Ravi Sundaram, President, Qyrus
Automated & Refined Web Testing Practices Our Test Recorder takes web testing with Qyrus to the next level with its AI-powered automation. By capturing actions based on clicks, it eliminates manual effort and streamlines testing processes. This capability ensures consistent and precise testing, saving time and effort for engineering teams while maintaining high standards of accuracy.
Consolidated Test Scripts for Reuse With Qyrus’ Test Recorder, test scripts are easily preserved and can be reused across different testing scenarios and environments. This feature enhances efficiency by reducing the effort it takes to maintain scripts.
Predictive Bug Diagnosis & Mitigation This tool goes beyond just recording your actions; it utilizes AI capabilities to diagnose potential bugs and suggest mitigation strategies. By analyzing test data and patterns, it helps engineering teams proactively identify and address issues, minimizing the impact of bugs on the overall web application’s performance and security.
Real-time Reporting & Visual Test Results Access real-time metrics and visual test results that empower teams with valuable insights into test execution. With visual representations of test results, engineering teams can quickly identify areas of concern and make informed decisions. This capability enhances visibility and facilitates effective collaboration among team members.
Enhanced UI Testing Flexibility It allows teams to pause a particular test and resume working on it later, accommodating interruptions or the need to shift focus. Test Recorder also allows you to effortlessly record website interactions This flexibility enables teams to adapt to changing priorities while maintaining productivity and ensuring thorough testing of the web application’s user interface.
Cross-browser compatibility The tool can record and replay sessions across different browsers, ensuring comprehensive compatibility testing. It’s quite helpful in how quickly it helps users import and execute tests out on the Qyrus platform using the screen recorder on Chrome and other browsers.
Handling Dynamic Content The Test Recorder facilitates dynamic data handling, helping testers catch bugs earlier in the testing cycle. Furthermore, the local browser execution allows you to execute these tests you’ve built locally, especially on the interactions existing in dynamic elements of the website.
Fast-track Web Testing & Development with Qyrus’ Web Screen Recorder Chrome Extension
Making the switch to efficient web testing tools is of utmost importance in fortifying the security and success of your web tools. Moreover, with the continuous evolution of web technologies and the increasing complexity of web applications, the need for such advanced testing tools will only grow. The ability to quickly adapt to new technologies and testing scenarios will be crucial, and that’s exactly where tools like Qyrus’ Test Recorder – a free web recorder come into play.
Qyrus’ Test Recorder has proven to be a great asset for web testing with its web screen recorder by providing automation, consolidated test scripts, bug prediction, real-time metrics, and enhanced UI testing flexibility. Whether it’s e-commerce websites, cross-browser testing, form validation, or load testing, Qyrus’ Test Recorder caters to a wide range of real-life use cases and is slated to transform the way organizations use web testing processes today.
Experience the power of seamless and secure web testing firsthand – take the leap and give our web screen recorder Chrome extension a try today!
Software testing that focuses on individual aspects like Web,mobile, and APIs, will often fall short in the assessment of omnichannel functionality. Component-based test automation is essential to deliver consistent user experiences across customer connect channels in such cases.
For instance, a customer might track an order placed on the website using the mobile app (or vice versa) in an omnichannel business model. Component system testing seamlessly validates these cross-browser and cross-platform functionality aspects to ensure optimal customer journeys.
Existing end-to-end functionality testing approaches often miss many CX issues since these use a hotchpotch of point solutions, complex configurations, and custom code. This is where Qyrus’ comprehensive platform differs from the competition due to its one-stop-shop architecture. Qyrus guarantees top-notch customer experiences with its automated business process testing features.
Discover seamless component-based test automation possibilities with Qyrus’ AI-powered management and extensive reporting capabilities. Our no-code approach and self-healing capabilities simplify end-to-end functional testing for testers, developers, and business analysts. Qyrus enables visualization of the entire business process testing lifecycle—at a step-by-step level.
Higher collaboration levels and conformity with component test standards are a natural outcome with Qyrus. For example, developers can build dedicated components to test apps, while the QA team stitches these together for seamless business flows. Powerful reporting across development and deployment cycles means that business analysts can analyze these reports to run component system testing variations.
In this session of The Qyrus Test-pert, join Anush B M to learn how you can:
Improve functional testing quality in omnichannel ecosystems
Enhance user experiences using component system testing
Simplify app testing in an end-to-end manner with Qyrus
Reuse existing scripts with component-based test automation
Can you tell us how Qyrus tests GraphQL and SOAP APIs on Qyrus API testing?
In the ever-evolving landscape of software testing, Qyrus continues to push the boundaries of innovation, consistently enriching its platform with new features to elevate the testing experience. These integrations empower testers with an expanded array of customization and usage options, revolutionizing the way they build test cases. One capability we’d like to shine a light on is the different types of APIs we can test on the platform. We’ve talked about API testing in the past, but today we’d like to expand more on how Qyrus can test GraphQL and SOAP APIs and how Qyrus can empower users to perform faster, simpler, and better API testing.
Joyal: Qyrus’ API testing allows you to test both functionality and behavior for both SOAP and GraphQL APIs. You can also test the client-side performance of these APIs and chain them together in our API Process testing section to test full business processes.
Brett: Many organizations out there use REST APIs in their business processes, but still, there are also organizations that utilize SOAP and GraphQL APIs in their applications. That being said, it’s important to be able to test those types of APIs. Qyrus is expanding its capabilities to include even more types in the future.
How does testing this feature impact the testing process overall?
Brett: Users can be more all-encompassing when it comes to what they’re able to test on the platform. As we mentioned, REST APIs are widely used but providing the user with the ability to test SOAP and GraphQL as well means that test coverage can be expanded and more of the testing across the application can be automated.
Joyal: I agree with Brett. These capabilities make testing more efficient, using fewer resources and improving overall application performance.
How might this feature help testers, developers, and business technologists? What value can this feature bring?
Joyal: For testers, they can build functional tests to test the behavior of their APIs. They can, again, test the client-side performance of those APIs and test them in an end-to-end business process.
Brett: Developers can import their APIs to Qyrus and quickly add assertions to them to validate that the APIs are working as expected. And they can test them across different environments like staging, dev, or production.
Joyal: Since Qyrus has simplified the testing process, business technologists can quickly and seamlessly create API tests using the same import feature Brett mentioned. Assertions can be easily added and in a codeless manner, again simplifying the process for less technical users.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Brett: With Qyrus, you truly don’t need to code at all to create test scripts. Codeless testing can improve product quality, increase development efficiency, and expand test coverage. With the amount of reusability that Qyrus offers, users will find the entire process to be much quicker compared to using other similar API testing tools. Another advantage with Qyrus is that everything is on the cloud, including the test reports, which provide a great amount of detail and troubleshooting capabilities.
How do you see the implementation of testing GraphQL and SOAP APIs on Qyrus impacting day-to-day operations across organizations?
Joyal: As we mentioned multiple times earlier, users can import APIs to create test scripts, and everything is codeless, day-to-day operations will greatly speed up, and the amount of effort it takes to perform the same amount of testing will be greatly reduced.
As we conclude our exploration of Qyrus API testing, with a special focus on the testing of GraphQL and SOAP APIs, it becomes evident that the platform continues to take leaps in empowering users. The expanded range of customization options and the flexibility to utilize various API calls reflect Qyrus’ commitment to providing testers with a wide range of capabilities to choose from. Qyrus remains steadfast in its mission to provide users with a plethora of features. Embrace the power of Qyrus API testing and unlock a world of possibilities to elevate your testing endeavors to new heights.
The exponential use of AI in mobile testing is driven by the need to meet the demand for faster release cycles of increasingly complex mobile applications. AI has also become a key facilitator of automated mobile testing trends, making testing faster and more efficient and ensuring different stakeholders can now contribute meaningfully to testing and help build a successful mobile app.
Rise of AI in Mobile Testing According to Global Market Insights, the automated mobile testing market earned US$6 billion in revenue in 2022. The findings of Future Market Insights say that the AI-enabled testing tools market will be valued at US$426.1 million in 2023. By 2033, this figure will touch US$ 2030.75 million. These figures indicate that organizations across the globe see value in leveraging artificial intelligence in software testing or mobile testing to deliver high-quality native mobile experiences, irrespective of the use case.
The raison d’être for the accelerated adoption of AI-backed mobile automation testing tools is the complexity of mobile testing. Mobile testers must test for mobile devices with various features, functionalities, processors, power consumption needs, etc. Such device segmentation creates testing challenges as testers must build test scripts based on numerous user behavior patterns, real-world usage scenarios, application behavior, app usage, historical bug reports, etc.
AI helps automate this long, drawn-out process replete with challenges, by creating relevant, effective, and intelligent test scenarios; by analyzing vast amounts of structured and unstructured data, AI development software can build test scripts for every scenario, thus simplifying the life of the testing team.
The rapid adoption of AI in testing is also an outcome of a growing problem in the tech world, the skills gap; the industry has also been a long sufferer of a panic of resignations. Together this has resulted in a situation wherein skilled experts across functions, including testing, are in short supply, resulting in understaffing of this department and/or organizations compromising with the testing process.
But there is a silver lining in the dark cloud.
The emergence of automated mobile testing and AI has ensured that critical testing actions can be automated. Leveraging AI in testing frees up testers’ time, enhances productivity with a leaner team, and improves the efficiency and accuracy of the overall mobile testing process. There is also a rapid evolution in the AI space, further driving efficiencies. While still in its nascent stages, companies have begun experimenting with generative AI in testing.
Generative AI can help create data and test cases on the fly by leveraging its data synthesizing and text production capabilities. AI can ensure anyone can execute these tests, irrespective of their testing knowledge or skill sets, and benefit from granular test reports. The testing tool integrated with generative AI can also help zero in on the defects and deliver actionable insights on debugging problematic code or take action on the tester’s behalf.
Features that Help Mobile Testing Organizations can leverage an AI-empowered testing platform that delivers a range of features. Some of these AI-enabled features include:
Self-Healing: The premise behind self-healing tests is that the components of any app are dynamic and can change if the app is updated or modified in any way. In such cases, the test script that worked earlier can fail, which calls for the test to be rebuilt and executed again. AI development software can automatically identify test errors due to dynamic properties, suggest remedial measures, or even update the test script, thus preventing test flakiness and brittleness.
Imagine a scenario wherein a test fails for a specific functionality, and upon problem identification, you find that developers changed the ID value of an element e.g., the login button. Without AI, you will need to go through your scripts, update the locator values of that button, or ask the development team to revert to the old ID. With the right AI tool, you can save time and maintenance costs as the tool monitors and makes changes to scripts when needed.
Qyrus’ Healer, an AI Tool, makes testing faster, smarter, and much easier by mitigating the need to modify and maintain test scripts. AI-driven test script correction means errors are rectified automatically, saving effort and valuable resources.
Improved Test Coverage: Testers need to analyze and build scripts for a significant number of user journeys for mobile apps. With AI-enabled testing, users can improve test coverage by visually analyzing the mobile application’s user journey and automatically building a test script based on the activity map. AI testing ensures they do not miss a critical case during the test build process.
As a tester and developer, you must be able to get granular visibility into the numerous and diverse user journeys that can take place on the app. More importantly, there might be navigation flows that you might have yet to think about. This helps build test cases and scenarios that might have been overlooked in initial test planning, thus making the mobile testing process more comprehensive.
Rover is Qyrus’ AI-enabled reinforcement learning bot that makes its way through a mobile app and records its journey. But it does not stop there. While traversing the app, it can build and export test scripts on the Qyrus platform, thus making it a comprehensive mobile testing tool. While Rover helps testers build test cases for many user journeys, developers can delve deeper into performance data to identify areas of improvement. Overall, it facilitates the building of a more robust app, that works optimally for all kinds of user journeys.
Test Intelligence: One of the key benefits of AI is that it can analyze the data produced by mobile app testing services quickly and comprehensively. It can detect and categorize errors, and even identify false negatives and true positives across numerous test cases. As can be imagined, this goes a long way in improving the productivity of testers and QAs and accelerates release cycles.
Move to AI-Powered Mobile Testing Approach Qyrus is a codeless, automated, AI and ML-driven mobile testing solution that is purpose-built to improve mobile application quality and, simultaneously, improve testing efficiency and speed up time to market. Users can automatically identify and fix test scripts, test mobile applications comprehensively, and get meaningful performance insights for test data. This results in better-quality apps.
AI application in mobile testing is the way forward, and it is imperative to adopt AI in mobile testing to make it more competitive and attuned to the demands of a modern mobile application and its development lifecycle.
Discover how powerful AI tools and test-driven Machine learning can accelerate and improve test coverage and reduce costs.
Introduction In the ever-evolving world of software development, testing takes center stage to ensure flawless user experiences. But let’s face it: traditional testing methods can be a real pain. They eat up time, drain resources, and leave room for pesky human errors. As risks and security breaches run rampant in today’s digital landscape, organizations face mounting pressure to level up their testing game.
But fear not! This case study explores the exciting world of AI and test-driven machine learning, showing how these advanced technologies can overcome testing difficulties, reduce expenses, and greatly improve the efficiency of your testing procedures. Get ready to unleash the power of quality like never before!
The High Costs of Risks and Security Breaches In an increasingly interconnected world, software failures and security breaches come with substantial financial and reputational costs. Industry statistics reveal that software bugs and vulnerabilities cost the U.S. economy an estimated $59.5 billion annually. Furthermore, the average cost of a data breach in 2021 was a staggering $4.24 million (source: Ponemon Institute). These figures underscore the urgent need for robust and efficient software testing to mitigate risks and potential financial losses.
Challenges with Current Testing Methods That Increase Costs
Manual Effort and Resource Allocation Current testing methods face challenges due to manual efforts and resource allocation. Labor-intensive processes demand dedicated personnel to carry out repetitive tasks, leading to increased costs. Skilled testers are often necessary, resulting in higher salary expenses. Moreover, as software complexity grows, the need for manual effort escalates, adding extra testing costs. These factors highlight the limitations of current methods and the need for more efficient and cost-effective testing solutions like testing in ML. With machine learning algorithms used, testing in ML can analyze historical test data to identify areas of higher defect probability, enabling proactive testing measures and optimizing resource allocation.
Test Environment Setup and Maintenance Traditional approaches often require significant time and resources. This includes acquiring hardware, obtaining software licenses, and maintaining infrastructure, all of which contribute to the overall costs. Additionally, ensuring compatibility across various operating systems, browsers, and devices further adds to the expenses. AI and ML testing tools automate repetitive tasks, reduce manual effort, and optimize resource allocation. They generate test scenarios and prioritize cases, enhancing efficiency in testing ML models. These factors highlight the complexities and financial burdens associated with test setup and maintenance in current testing methods, that can be combated with testing with machine learning models.
Test Execution and Time Constraints Manual execution of test cases is time-consuming, particularly for large-scale projects. Longer test execution cycles result in delays in software delivery, leading to potential revenue loss. To meet project deadlines, overtime payments or additional hiring may be necessary, resulting in additional expenses.
Regression Testing and Maintenance Regression testing is essential to ensure that changes or updates in the software do not introduce new defects. With traditional methods, regression testing is often performed manually, resulting in increased effort and costs. Additionally, there is a huge overload in maintaining test scripts and updating them for every software.
PS: AI-enabled features can help you add visual aid to your regression testing. There’s a fun read about it, here.
Defect Resolution and Post-Release Support Traditional testing methods may fail to identify all defects, leading to post-release issues and customer support costs. Delayed defect detection and resolution can result in higher expenses related to bug fixing, customer complaints, and reputational damage. Additionally, providing ongoing support and maintenance after the software release further increases costs for organizations.
Conquering Testing Costs with AI and ML Wizardry
Automated Testing and Resource Optimization AI and machine learning in testing automation tools can significantly reduce manual effort and costs by automating repetitive testing tasks. Their intelligent test case generation algorithms can create test scenarios, minimizing the need for human intervention. Machine learning algorithms can analyze historical data to optimize resource allocation and prioritize test cases based on their potential impact.
Cloud-Based Testing Environments st-driven AI tools and Machine learning models can facilitate the creation of scalable and on-demand test environments in the cloud, eliminating the need for costly infrastructure setup, maintenance, and associated costs. Virtualization and containerization technologies driven by AI can provide flexible and cost-effective test environments, reducing hardware and licensing expenses. These ML models help monitor software in the production environment, alert teams to problems, and resolve them quickly, reducing costs from defects after release.
Intelligent Test Execution and Acceleration AI algorithms can analyze test execution patterns and optimize test suites to reduce redundancy. This eliminates unnecessary test cases and accelerates the overall testing process, as machine learning models can learn from past test runs, also eliminating the initial challenges of machine learning models. It predicts the most critical areas of the software to focus its testing efforts, optimizes resource utilization, and minimizes test execution time, which goes a long way in saving costs.
Smart Regression Testing and Maintenance AI-powered test automation frameworks capture software changes and update test scripts automatically, reducing manual effort in regression testing. Testing in ML analyzes code changes and automatically generates relevant test cases for impacted areas, ensuring efficient regression testing and reducing maintenance overhead.
Early Defect Detection and Predictive Analytics AI and testing machine learning models can analyze large volumes of test data, log files, and customer feedback to detect patterns and anomalies that indicate potential defects or quality issues without extra costs. Predictive analytics models can identify areas of higher defect probability, enabling proactive measures and reducing post-release support costs. Moreover, AI-driven monitoring and error-tracking systems can continuously monitor software performance in production, alerting teams to potential issues and facilitating timely resolution.
Conclusion Software testing in today’s dynamic environment needs smarter tools in order to increase the level of automation they provide and enable DevOps teams to deliver high-quality applications. These tools need to go beyond being just a framework for test creation and execution and need to deliver the high level of adaptiveness and accuracy our testing processes require.
Machine learning models used for test optimization and predictive analytics can significantly boost the ROI of testing efforts by focusing resources on critical areas. Adopting smart AI tools and test-driven machine learning is at the forefront of recognizing this requirement and adds to the much-needed acceleration and automation global engineering teams need to deliver good software. By harnessing the power of these technologies, organizations can significantly reduce costs, enhance the accuracy and efficiency of testing processes, and mitigate the risks associated with software failures and security breaches, as we witness the evolution of software testing frameworks.
If you’d like to get started on leveraging AI and test-driven Machine Learning to streamline your testing processes, improve software development outcomes, and produce high-quality code – try Qyrus and see the difference it can make for your engineering team!
Get ready for an intriguing Feature Friday, as we unveil Qyrus’ recent addition to the Mobility testing service – the powerful push file action type. Empowering testers and developers alike, this feature enables seamless file uploading to mobile devices, streamlining the testing process and enhancing efficiency. Join us as we explore the versatility and value of this capability, catering to a myriad of use cases and revolutionizing day-to-day operations for organizations working with mobile applications.
Tell us more about the ability to push files on the Mobility testing service. What use cases might it serve?
Steve: Push file is a new action type that has recently been added to the Qyrus Mobility testing service. Push file enables users to upload certain file types to the mobile device during the testing process. Users can upload things such as PDFs, PNGs, or JPEGs to a mobile device’s local storage.
Parth: If a user’s application requires uploading any specific file for testing purposes, this action type would suit their needs. For example, if an app needs to scan a QR code, the user can upload an image of that QR code to the device. This is just one sample use case of how this new action type can help with different types of testing.
What is this feature’s overall impact on the testing process?
Steve: In general, we see this feature providing benefits during the test-building process. It can help users create more simplified tests in a codeless fashion. Previously, users would have to go through a roundabout way in order to test certain use cases, thus cutting down on the number of test steps needed and ultimately also aiding with the amount of time it takes the test script to execute.
Parth: I agree with what Steve said, it really helps with effort reduction when it comes to both building and executing test scripts. Furthermore, one could extrapolate that this would also lead to further cost benefits.
How might the push file action type help testers, developers, and business technologists? What value can this feature bring?
Parth: Testers can utilize this new feature to increase and widen their test coverage as well as, just mentioned before, test more efficiently and faster. Developers might find this feature useful when they want to test the base functionality of the app themselves. They can go ahead and perform these tests quickly on Qyrus because of the ease of use that comes with the platform.
Steve: As for business technologists, this action type in and of itself would make it easier for them to go and possibly build tests on their own, too. Otherwise, it can help simplify the test scripts that they may be analyzing or looking at for their own purposes.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Steve: With Qyrus, the ability to perform this type of action is much easier. That is, pushing or uploading a file to a mobile device for testing. Instead of having to go through roundabout and convoluted ways to achieve this ability, Qyrus does it all in one step.
Parth: There is an extra effort from the tester’s side when it comes to doing something like this outside of Qyrus. A tester would have to download a file from a hosted link, for example.
How do you see this feature impacting day-to-day operations across organizations?
Parth: This new feature enables users to easily run tests that require uploading files for testing purposes. Furthermore, other methods of uploading or pushing files to mobile devices require multiple steps that can sometimes be very confusing to the user.
Steve: The user can reuse the same uploaded file on the mobile device after it has already been uploaded once. So once the device has that file, unless it is removed or wiped from the device, the file shall remain.
In wrapping up this Feature Friday, we’ve explored the impact of Qyrus’ push file action type on mobile application testing. With its user-friendly approach and versatile use cases, this feature transforms the way testers and developers interact with their mobile applications. As a result, organizations can achieve higher efficiency, and reduced effort, and ultimately deliver top-notch mobile experiences to their end-users. Qyrus continues to innovate and revolutionize the testing landscape, making it the ultimate choice for comprehensive and seamless testing solutions.
Date: 29th August 2023 Time: 12 PM Eastern Time
Description: The ever-pervasive nature of APIs is an undisputed fact. Today, API calls make up more than 83% of online traffic. This makes end-to-end API testing a non-negotiable aspect.
From a testing perspective, such widespread usage makes it difficult to identify the considerable number of APIs running on a modern website. An even tougher challenge is to zero in on the interactions between APIs. The use of a comprehensive API discovery tool is a top priority due to such issues.
In this webinar, we explore how an advanced API discovery extension like Qyrus API Discovery increases test coverage using generative AI. API integration testing tools like Qyrus API Discovery go beyond recording API calls for a specific business use case. For example, the API discovery extension can clearly detail a specific API call’s purpose. It can also generate the API process, which delivers insights into an API’s dependencies. At the same time, Qyrus API Discovery intelligently ignores analytics and user monitoring calls.
Learn more about:
Strategies to overcome common API testing challenges in websites
Ways to streamline API tests with a generative AI-based API discovery tool
How an API discovery extension like Qyrus API Discovery strengthens UAT
How Qyrus API Discovery works alongside Qyrus Encapsulate
Speaker Bio: Ameet Deshpande is an Engineering generalist and a builder at heart with a focus on Quality Engineering, Product Engineering, Product Management, cross-functional team building, and Agile. He has been involved in many strategic initiatives at Qyrus and its clients and especially in Financial Services with primary experience in Quality Engineering, Cloud, SaaS, and AI. He was also involved in large-scale transformation programs as part of a consulting & architecture group within one of the top 10 Banks in the world.
QA professionals often have to juggle between the local system account and Qyrus’ cloud platform during test execution. Another alternative is to deploy these local apps, which present other difficulties. The new QloudBridge software solution resolves such issues by acting as a bridge between the local system and Qyrus’ cloud.
Testers can club the synergies of QloudBridge and Qyrus Connect to test apps on the local system account—directly from the Qyrus cloud. QloudBridge mitigates the need for app deployments and resolves local system account access issues.
QloudBridge streamlines a wide variety of app testing needs. These capabilities range right from API and mobile app testing, all the way up to desktop testing. Our software solution even supports testing for classic desktop applications built on technologies like VB 6.0, .NET, or Electron.
Features like Qyrus Inspector and Qyrus Recorder are an integral part of QloudBridge. Your testers can seamlessly generate values to create optimal tests with Qyrus Inspector. Take these to the next level with Qyrus Recorder for automated test building. Qyrus Recorder can also automatically import SAP recorder steps for SAP test execution in software testing.
In this session of The Qyrus Test-pert, join Punith Narayanan and Nishant Mehta to learn how to:
Leverage QloudBridge to test local apps on system user accounts without deployment
Club the synergies of QloudBridge and Qyrus Connect for diverse testing needs
Test classic desktop applications using the QloudBridge software solution
Utilize Qyrus Recorder features for test execution in software testing
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Visual Testing Section
Overlapping Testing
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Dark Mode Testing
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Kumar Vivek
Development
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