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.
Wildfires across the northern regions of the United States and Canada have been detrimental to air quality across the Chicago land area over the past few weeks. They have affected a range of states, causing a variety of alerts and notifications, ensuring people are aware of the quality changes, and encouraging residents to stay indoors as much as possible. And as the air is thick and dark, we cannot help but consider the possibility of importing in a nice ocean breeze from a remote island where there is little to no pollution, breathing in the brisk and high-quality air. This thought transitions us seamlessly into Qyrus’ automated testing solution, which offers quick imports of test scripts from Excel or JSON file formats and builds them into automated test scripts. This week’s Feature Friday is brought to you by Joyal and Milton, who will discuss these imports and how they make test building a true breath of fresh air!
Tell us more about the Quick Imports feature offered by Qyrus and its use cases.
Joyal: Great Question, the quick imports feature enables users to fill out an Excel or JSON file, and as long as it is in the proper format the files can be imported into Qyrus and automatically built into executable test scripts.
Milton: This feature truly simplifies test building and gives users another, streamlined test-building option. Whether it is making test building accessible to personas across the QA cycle or allowing targeted testers to build, save, or maintain scripts while offline or in transit, using a local environment, or having a strong familiarity with JSON or Excel.
What is the Quick Imports feature’s overall impact on the testing process?
Milton: This feature directly affects the test-building process, making it more efficient while reducing effort. Streamlining the transition from build to execute offers a simple way to build and manage scripts that still offer repeatable execution and parallel testing capabilities across a range of browsers.
Joyal: Exactly, it may be much easier to clone, merge, and alter scripts using a text editor format. Losing none of the power that Qyrus’ automated testing solution offers, simply simplifies and streamlines the test building and maintenance process.
How might Quick Imports help testers, developers, and business technologists? What value can this feature bring?
Milton: Developers can build tests without ever having to open or learn a new testing solution. Simply fill out the required information within an Excel or JSON template and import it directly into Qyrus as an automated test script. This allows developers to build comprehensive test scripts in a highly efficient manner.
Joyal: This allows testers to take a massive shift left. Using existing templates during development, testers can create expansive testing flows, fill out relevant step details and quickly share files with developers to fill out the remaining information such as the elements locator and locator value. Testers can create suites covering every feature of the application before release, import them into Qyrus, and execute repeatable across the required infrastructure. This increases efficiency while maximizing coverage.
Milton: This also makes testing more accessible for business analysts. With a foundation in user requirements and common user journeys, business analysts can build tests to ensure high-value features and functionalities are covered across the testing and QA cycle and ultimately functioning properly. Furthermore, Excel, as well as JSON, are commonly used file formats and the input templates are already laid out, minimizing the learning curve.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Joyal: There are very few solutions today that offer an out-of-the-box import option with test building, and even fewer which provide simple data templates that are automatically integrated into automated, repeatable test scripts.
Milton: The simplicity of test building using an Excel or JSON template speaks for itself. Being able to take those scripts and execute them may also be functionality that can be found elsewhere. But, by taking those files, and importing them into Qyrus, you now have every capability that Qyrus offers across that given script. This includes parallel testing and execution capabilities, infrastructure requirements, AI/ML capabilities, organizational structure, and more. This is the unique value that Qyrus offers in relation to existing technologies as well as market competitors.
How do you see Qyrus’ Quick Imports impacting day-to-day operations across organizations?
Joyal: The quick imports functionality is truly the most powerful across daily implementations. In the simplest terms, it allows anyone who is building tests another simple-to-use and easily importable format. Excel and JSON formats are consistently used across organizations of all shapes and sizes, and can now also be used to build automated test scripts. At the same time, the feature makes testing more accessible, as test creation can be done in a multitude of environments and conditions.
Milton: Exactly, it makes the test-building process significantly more inclusive. If there is a commonly used feature that a business analyst wants to ensure is working properly, it is now possible to fill out a form, import, and execute with a video of the executions and screenshots immediately available to you. Another example is before a sales pitch, members can quickly ensure the functionality is working for the upcoming release and confidently pitch a roadmap-based functionality to clients ahead of time while functionally testing the application in tandem. Furthermore, building tests across any environment so long as you can open your machine maximize accessibility and efficiency across day-to-day test building.
These features and functionalities set the standard for simple, steadfast, and efficient test building. Allowing users, a range of building options, pre-built templates, and execution is unique in and of itself. Furthermore, not just executing scripts but importing them into Qyrus script-building format and arming these scripts with all existing Qyrus features and functionalities make this feature both unique and powerful. Testing simplicity, efficiency, and accessibility are all affected by this feature, increasing speed to market, test case coverage, and QA team collaboration. That is all for this week but make sure to join us for next week’s Feature Friday where we will continue discussing Qyrus features and functionalities which truly enhance the QA lifecycle.
We’re excited to present this Feature Friday, where we shed light on the game-changing testing capabilities of Qyrus for Salesforce and SAP applications. Qyrus goes beyond traditional manual testing methods, offering an all-in-one platform that empowers testers, developers, and business technologists to optimize their testing efforts. From advanced locators to comprehensive reporting, Qyrus revolutionizes the testing landscape and streamlines day-to-day operations for organizations working with Salesforce and SAP. Without further to do, we’ll pass it off to Tim and Amy to share more information with us.
Tell us more about testing Salesforce and SAP on Qyrus.
Tim: Using Qyrus has multiple benefits when it comes to testing your Salesforce or SAP applications. Firstly, we are able to test both on the cloud as well as native desktop instances of both Salesforce and SAP. Qyrus has just released a brand new desktop application that now extends Qyrus’ testing brilliance into the desktop testing world.
Amy: Qyrus can do things like help find difficult locators when it comes to building out these SAP and Salesforce tests. One big issue we see when it comes to building out automated tests for these applications is that it can be really difficult to find certain locators. Qyrus looks for locators that won’t change based on the XPath. And other tools that aid in test building like our recorders work as well on SAP and Salesforce applications.
What kind of impact might Qyrus have on testing Salesforce and SAP applications?
Tim: Qyrus would help facilitate all aspects of the testing process, but specifically, Qyrus might make the test-building aspect easier over the others. As we’ve just mentioned, we have recorders that aid users in test building. Firstly, we have our original recorder for web test building that is just an extension of the browser. Secondly, we have Qloudbridge, our new desktop-based testing solution, which will take the role of Qyrus but on a desktop application. Qloudbridge has a recorder built-in, as well. And last but certainly not least, we have the mobile recorder which would be able to help test mobile Salesforce applications.
Amy: Qyrus is also dedicated to your success. We have a client success team that helps all clients with operations and training on how to not only use but how effectively use the Qyrus platform so as to optimize efficiency when it comes to testing. Each client has a dedicated client success team member that will be readily available to assist with any issue that might arise.
How might Qyrus help testers, developers, and business technologists when it comes to Salesforce and SAP testing?
Amy: Well, in general, we have robust reporting, the ability to live test, and we can reuse tests across the platform to help with test coverage. Instead of having to rebuild tests over and over, users can clone or embed tests within another. This is very helpful for users who are not as technically advanced compared to others. But specifically when it comes to testers, they can do things like schedule tests for execution on Qyrus, and connect their automated testing to CI pipelines like Jenkins or Azure DevOps. Another thing is that we offer tools like synthetic data generation and Test Data Management, which would help further increase test coverage, allowing users to utilize data-driven development in their testing processes.
Tim: For developers, using Qyrus would help get feedback to the team much quicker. Instead of having to wait for all the automated testing to finish and then getting some perhaps Excel form for reporting, Qyrus provides robust and comprehensive reports at the end of test executions. This would mean that the problem can be quickly identified in the report and all the device details including logs can be found in the report.
How do testers currently test Salesforce and SAP applications, and how do competitors address similar problems?
Amy: Currently, without Qyrus, we see testers often manually testing these Salesforce and SAP applications. Very few of our current clients who are testing Salesforce and SAP actually had anything automated. Much of the issue comes with the locators and the frequency of change in the application and the lack of control that was brought forward to testers. With Qyrus, all of that changes.
Tim: And when it comes to others, there are definitely other tools that help test Salesforce and SAP applications out there. Some tools are specifically made for testing Salesforce and SAP applications. However, what you miss out on is the rest of Qyrus. Qyrus is a one-stop shop for all of your testing needs, including infrastructure. What you trade off from not using Qyrus is the lack of control and agency over your own testing requirements and needs.
How do you see testing with Qyrus impacting day-to-day operations across organizations?
Amy: Overall, the simplicity that Qyrus offers is the biggest thing it has on the table. Day-to-day operations will change from having larger teams to smaller teams, and from spending most of the day focused on test building to being focused on expanding test coverage.
In concluding this Feature Friday, we’ve explored the pivotal role Qyrus plays in Salesforce and SAP testing. By replacing manual efforts with automation, Qyrus empowers testers, developers, and business technologists to overcome the challenges associated with locators and frequent application changes. With Qyrus as their comprehensive testing solution, organizations experience enhanced control, improved feedback cycles, and increased simplicity in day-to-day operations. Qyrus paves the way for streamlined testing processes, enabling teams to focus on expanding test coverage and achieving testing excellence.
Despite the widespread shift towards Web and mobile apps, the local app remains a prominent player in enterprise IT. In-depth testing of these desktop apps has become a major challenge for QA professionals. This is especially true for legacy on-premise desktop apps that are still used in the workplace for multiple reasons.
Widespread usage of desktop applications creates many issues for the QA team. Core business applications often tend to run on standalone nodes due to reasons right from customizable user experiences and compliance requirements, all the way up to security and business continuity. A case in point can be classic Windows or Mac apps that need ongoing maintenance due to their criticality. A similar need exists for SAP-based desktop applications.
Test execution that checks for performance, functionality, and usability of a local app requires tedious man-hours. The need for newer functionalities and the upgradation of features compounds these challenges. Complexities increase when we account for hybrid applications that exist at system user account levels and the cloud.
It is impractical to manually test desktop apps at the local system account level – especially for those with large-scale usage. This is where automated desktop application testing becomes imperative. The QloudBridge software solution from Qyrus addresses such test execution needs.
The QloudBridge USP QloudBridge’s desktop testing service facilitates test execution on a local application. It ensures end-to-end evaluation of local app performance, functionality, and usability.
The QloudBridge software solution bridges a user’s local system and the Qyrus cloud. Ideal for on-premise and cloud-based apps, QloudBridge also accelerates desktop testing in hybrid models. QloudBridge resolves challenges associated with the execution of tests on a user’s machine. At the same time, QloudBridge streamlines the management, analysis, and design of tests on the Qyrus cloud platform.
The uniqueness of QloudBridge lies in its extensive support for Windows, Electron, and SAP-based desktop applications. It enables seamless access and testing of local apps in the Qyrus cloud environment using Qyrus Connect. Desktop testing is the latest addition to the Qyrus Connect toolkit, which already supports API testing, Web testing, and API testing.
Using QloudBridge is as simple as adding the test device using an intuitive interface. QA professionals can seamlessly perform test execution steps just by running QloudBridge software on standalone computers. Users can test an application without its deployment in any environment. This mitigates the need for complex app deployments and physical access to the system user account.
A wide range of capabilities that extensively test legacy on-premise desktop apps is the best feature of QloudBridge. This is a boon for businesses dependent on classic desktop applications built using technologies like VB 6.0, .NET, WPF, or Windows Forms. QloudBridge’s features even account for testing of the cloud apps in cases where these on-prem apps have evolved into a hybrid model. Comprehensive testing of SAP-based desktop applications is another benefit of QloudBridge.
Under the hood QloudBridge includes powerful testing possibilities, many of which are similar to those available in Qyrus’ Web testing portfolio. For example, it is possible to perform tests and test structures using QloudBridge. Our desktop testing service also supports proven Qyrus features like Test Repository, Test Lab, and Test Sprint modules.
Test Lab helps QA professionals effortlessly import test scripts and access reports. QA teams can monitor the verification of overall test execution in software testing using QloudBridge’s Test Lab Dashboard feature.
Granular analysis of aspects like total pass and fail execution can be analyzed using the Test Lab Details feature. It is a great way to check overall execution and pass percentage. It provides a report about the script. Pass or fail status for script dry run is also available.
QloudBridge integrates two features that are highly useful for 360-degree automation of desktop application testing. Qyrus Inspector and Qyrus Recorder provide the following capabilities:
Qyrus Inspector: A very handy tool, Qyrus Inspector reduces test-building efforts. This feature helps testers and developers effortlessly obtain all the values required for a test. This eliminates the need for tedious and time-consuming manual inspections using multiple third-party tools. It also ensures compliance with accessibility standards.
Qyrus Recorder: This feature makes life easier with the option to record test-building steps on Windows-based desktop applications. In conjunction with Qyrus’ No Code capabilities, this enables faster test building and go-to-market times. Qyrus Recorder also includes a VB 6.0 Script converter which allows the conversion of SAP recorder tests into test steps.
QloudBridge enhances testing productivity via the automation of time and effort-intensive repetitive tasks. Its wide support for desktop applications and legacy technology frameworks makes it ideal for end-to-end testing of local apps.
Available as a ready add-on in the Qyrus platform, QloudBridge instantly ramps up your desktop application testing infrastructure.
Automation is impacting every facet of our world. With robots assembling cars, chatbots taking over customer service, drones delivering packages, and smart homes mitigating the need for light switches and automating appliances, it begs the question of why should testing be any different. And even with the birth of automation within testing, there is a limit to functionality. Though tests can be run in automation, bringing them into larger workflows including CI/CD tools has become increasingly difficult as testing complexity increases. This week’s Feature Friday is brought to you by Parth and Suraj who will discuss how CLI packages offered by Qyrus allow users to trigger automated test scripts without ever leaving the UI, making testing a truly automated, and hands-off experience.
Tell us more about the Updates to CLI commands offered by Qyrus and their use cases.
Parth: Our CLI commands package is constantly being updated to add more functionality. In this case, we have recently added a CLI package for API testing. This means that Qyrus now has the capability to trigger executions across API tests without having to access the UI. Simply select the desired scripts and they can be triggered through CLI commands.
Suraj: Exactly, there is no longer a need to access the UI to trigger executions. In essence, trigger straight from your pipeline, and all reports are then returned to the pipeline. Therefore, allowing Qyrus to do all the heavy lifting and automated testing in the back end, while users never have to leave their pipeline. Furthermore, all execution functionality with Qyrus carries over. This means you still can run parallel tests, data-driven tests, and any prerequisite APIs required to fulfill your API execution.
What is the updated CLI commands package’s overall impact on the testing process?
Parth: The most impact is noticed throughout the test execution and reporting processes. Having the ability to execute straight from pipelines centralizes testing requirements, and having both data-driven and visual reporting relayed straight to the pipeline allows for robust reporting and defect management straight from pipelines.
Suraj: This feature is seen as both an effort and time reduction. No more bouncing from a CI/CD tool back to the automated testing solution to correlate executions. And leveraging the execution capabilities and testing features offered by Qyrus’ automated testing solution, within an already established regression flow that defines existing best practices and requirements is a unique and powerful stack both in terms of time and effort.
How might CLI commands and the updates to the CLI package help testers, developers, and business technologists? What value can this feature bring?
Suraj: Dedicated testers find the most use from this feature. As testers often develop and maintain regression suites and testing pipelines, leveraging test building capabilities of Qyrus to build API tests in a steadfast, low-code no-code, manner and then implementing them straight into existing pipelines with already established logical flows, through a simple-to-use CLI package provides both power and simplicity. And with execution features of Qyrus alongside relayed reporting, Qyrus enhances any CI/CD tool, allowing testers to get the most out of their pipelines and automation.
Parth: Developers are also no exception. Developers now can add these CLI commands to their builds, forcing a triggered execution as soon as their APIs are deployed. Now taking an automated shift left, as soon as developers push new code there is already a pipeline execution in place triggering a set of dedicated test scripts and relaying the reporting to a centralized location. This provides immediate feedback during development cycles, making the deployment process more efficient.
Suraj: Though business analysts typically do not execute CLI commands, this feature also caters to the centralization of testing and reporting, making it significantly easier for more team members to enter the testing process. Where tests were previously maintained by code and executed using scripts and coded commands, with CLI packages alongside Qyrus’ rich reporting, Business analysts can easily refer to CI/CD pipelines and previous executions to further analyze application builds. With screenshots, tables, and direct data analysis, it is simple to understand testing requirements, follow the execution, and analyze reports for proper functionality. This involves more personas throughout the testing process, promoting a collaborative testing structure.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Parth: Before Qyrus there is a concept of automated testing, however, the difference comes in the ability to trigger executions which are then relayed onto pipelines. These additions truly enhance CI/CD pipelines, arming them with parallel testing and rich reporting features that Qyrus offers, while also simplifying the execution and organization process.
Suraj: In the industry today, across point solutions and competitors, there is no option that not only allows you to trigger executions but also relays important and use case-centric data back into the CI/CD tool. In essence, being able to run regression without ever leaving the pipeline.
How do you see Updates to CLI command packages impacting day-to-day operations across organizations?
Parth: The power of the CLI command package is that you can use it continuously, especially within pipelines and regression testing objectives. Anytime there is a deployment or a regression suite needs to be executed, developers and testers can simply execute the command, triggering all required executions. There is a limited need to even enter the Qyrus UI once scripts are created.
Suraj: That’s correct and with the execution capabilities and robust reporting that Qyrus offers relayed straight to the desired pipelines. Furthermore, CLI commands can be reused with minimal changes required to run a desired test or suite of test scripts. Adding simplicity, automation, and reusability to regression testing, enhancing CI/CD and regression testing and truly making a positive impact on deployment time and resources.
To take all of the benefits of Qyrus’ automated testing solution, and place it behind a triggered execution, truly and uniquely automates the testing process. Enhancing CI/CD tools with an already optimized testing solution brings about the best of both worlds. As your pipelines logically organize workflows and regression suites, they can now trigger the accompanying executions on Qyrus and return required reports straight to pipelines. In other words, the power of pipelines enhancing with the heavy lifting of Qyrus truly optimizes the testing and Quality Assurance process. Join us next week for Feature Friday as we delve further into Qyrus’ features and functionalities that revolutionize the testing process.
In software development, the manual creation of test cases and lengthy execution processes are time-consuming and prone to human error. Additionally, these challenges also include costs and effort associated with test maintenance, time constraints, and navigating through complex infrastructures.
However, things are about to change – for the better, of course! In fact, they are about to change for the better. The TestPilot – a groundbreaking ChatGPT plugin, can harness the power of ChatGPT to automate Web App testing and provide seamless solutions to enhance the testing process.
Unleashing the Power of ChatGPT: The Qyrus Way TestPilot is a game-changer in the realm of test automation. It leverages the remarkable intelligence of ChatGPT to generate tailored test scenarios, eliminating the need for painstaking manual test creation. By simply providing the URL of the web app, TestPilot intelligently identifies the app’s functionality and domain, saving considerable time and effort. This ChatGPT plugin is a testament to the power of ChatGPT for coding.
How it works Before we get into how this works, let’s understand what a plugin is, and its capabilities. A plugin is like a special tool or add-on for software or a website. It’s designed to make things easier or add extra features. Imagine you have a toy car, and you want to make it go faster. You can attach a turbo booster plugin to make it zoom!
The Qyrus plugin Similarly, a plugin for software testing, like TestPilot, is like a super-smart helper that works with another program called ChatGPT. It automates the process of testing web apps, meaning it can quickly and cleverly check if everything is working correctly. It’s like having a genius friend to test things in a flash. This Qyrus-powered GPT chatbot is a super tool for engineering teams everywhere.
Sounds too good to be true? Take a look yourself! We asked it to generate tests for a page on Amazon’s website, and boy, did it deliver! From searching for products to checking login functionality and testing the wishlist feature, TestPilot nailed it!
Not only can this genius plugin identify the functionality and domain of an app based on its URL, but it also creates tailor-made test scenarios for optimal coverage – talk about saving time and effort!
But wait, there’s more! TestPilot doesn’t just generate the tests, it also executes them using Qyrus Test Cloud, in real-time, providing instant results! No more waiting for test runs to complete or scrambling through logs. With TestPilot, you get your test results right away.
Here’s what it would look like
Open ChatGPT: You’ll need ChatGPT 4 subscription for the Qyrus plugin to work.
Install the Qyrus plugin ‘TestPilot’
Enter the URL in ChatGPT
Enjoy testing in a flash!
This Plugin can Change the Way we do Web Testing Forever
Instant Results, Real-Time Execution TestPilot doesn’t stop at test generation. It takes testing efficiency to the next level by seamlessly integrating with Qyrus Test Cloud, making this ChatGPT plugin a game-changer for test Cloud environments.
An immersive testing environment With the ability to re-run tests at any time, developers and QA teams can fine-tune their applications, ensuring optimal functionality and user experience. The GPT Chatbot makes this easier than ever!
Streamline processes like never before The TestPilot ensures optimal test coverage by intuitively identifying all the essential functionalities and generating test scenarios accordingly. This eliminates the risk of missing critical test cases, providing a more comprehensive testing process. With this streamlined experience, engineering teams can focus more on analyzing the results, fixing issues, and enhancing the overall quality of their websites.
Spread the word! We mean it when we say this plugin will change the way teams test software today and for years to come. With the ChatGPT integration, TestPilot brings forth a range of benefits that streamline web app testing. The intelligent algorithms behind ChatGPT enable TestPilot to identify the app’s functionality and domain, ensuring comprehensive test coverage.
This integration impacts Web App testing by eliminating the challenges engineering teams currently face with respect to time and effort. Through its smart test generation and real-time execution capabilities, the plugin enhances testing efficiency, accuracy, and overall software quality. With industry leaders already embracing AI in software testing, TestPilot positions itself as a vital tool in the quest for seamless and reliable web app testing.
Say goodbye to tedious testing, and hello to powering through with speed!
As content increases so do requirements, this is a standard of every given industry and one of the most basic but essential requirements is organization. For example, as clothing increases so does closet, wardrobe, and dresser space to promote a high level of organization. There is a surplus of products and solutions that target the need for organization due to growth. Other examples include spice drawers, shoe racks, hanging bike hooks, among more. The testing industry is no different, and the question remains, how do organizational methods change as test cases and automated test scripts increase? Standard name and description methods are useful, but to what extent? And how useful can they be across hundreds and even thousands of test cases? This week’s Feature Friday is brought to you by Milton and Kiwaun who will discuss Mind Maps, a unique way to organize and maintain tests at the script level, simplifying organization and maintenance across testing landscapes.
Tell us more about the Mind Maps featureoffered by Qyrusand its use cases.
Kiwaun: The concept of mind maps is very simple, yet extremely useful as well. During the creation of the scripts, Mind Maps allow users to place customized tags on scripts. Outside of the basic description and title of the script, you can now allocate personalized tags to the script to monitor a range of details.
Milton: Exactly, being able to add tags for testers, release cycles, specific features, and functionalities now gives scripts a customizable set of markers. Furthermore, when entering the mind maps you can then filter the suites by these different tags, providing you with a branching structure of all associated scripts and their previous execution specifics.
What is Mind Mapsoverall impact on the testing process?
Milton: This is a daily use feature during test building and reporting, which accelerates test coverage while reducing testing efforts. Mind Maps allow for a unique organization structure, which you can then filter from accordingly to have a quick and detailed view of all associated scripts and their previous executions.
Kiwaun: Exactly, having a detailed view of all users’ testing, which sprint release these scripts are a part of, or exactly what feature functionality they are testing could be extremely useful in day-to-day testing operations. Furthermore, this is a script-level tag, which means they are agnostic of other structures. Meaning, if you have your entire suite set up in a single organizational method, you can simply tag the individual scripts and enter the mind maps section in reporting and filter based on tags.
How might MindMaps help testers, developers, and business technologists? What valuecan this feature bring?
Kiwaun: For testers, Mind Maps make planning and organizing their scripts and suites much simpler. Suite and script structure are standard and extremely useful for organization purposes but are often restricted to customization. This way, testers can tag their scripts with their desired requirements and organize them at a high level. Outputting a clean branding diagram of all associated scripts makes it both informative and simple.
Milton: Developers are often seen tagging their sprints or their testers to given scripts. This allows developers to follow exactly what sprint cycle or release date certain features are a part of, and simultaneously note the coverage those features have or even know which testers from the team are covering which features. Furthermore, being able to navigate quickly to previous executions and understand which scripts are failing and why truly impacts release times and the overall quality assurance process.
Kiwaun: Even business analysts can monitor their team’s sprints, in-progress testing, or upcoming releases to ensure that application development is proper as well as test case coverage is consistent. Any holes in coverage, execution failures, and bugs can be easily identified accordingly.
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Milton: There are a range of organizational methodologies out there, but none are as simple, transparent, yet useful as Qyrus Mind Maps. Simple organization and naming schemes can be powerful, but on a suite and script level as the number of requirements and in turn scripts increase, all standard organizational methods fail. This is where script-based tagging and in turn the Mind Maps’ hierarchy or branching display come in very handy.
Kiwaun: Furthermore, the diagrams are color-coordinated to previous execution specifics, and the branching and organization are automatically generated as the script is created using the tag. This, in turn, makes organizing a secondary thought, more or less effortless. And by automatically populating Mind Maps, reduces a surplus of effort that would have originally been the tester or developer’s responsibility. The feature can take away a large overhead previously dedicated to organizing and distributing test scripts.
How do you see Mind Mapsimpactingday-to-day operations across organizations?
Milton: Mind Maps are more of a daily-use feature than anything. The initial impact of the feature is directly upon script creation where custom tagging options are available and carry through the execution and reporting process, giving you the ability to not only organize by sprints and releases but also by the unique tags placed on each script. Multiple tags can be placed on each script, and they can also be filtered in buckets.
Kiwaun: Exactly, depending on tagging schemes it would be very easy to pull up a range of scripts that were for a given release cycle, built by a given tester, with additional tags as well. The ability to add as many tags as desired to a given script and filter across these tags using one or many makes finding different scripts or groups of scripts very simple. It is also very important to note that Mind Maps are automatically organized into a visual flow and mapping across tests and suites. This feature is both efficient and effective, delivering a high level of organization regardless of script size or quantity.
Mind Maps start with the ability to place individual or multiple tags across test scripts upon creation. These scripts act exactly as others across the platform, enabling a multitude of features and functionalities across test building, executing, and reporting. But using Mind Maps, these scripts can now be organized by tag or tags. This allows users to go into a large suite of scripts and filter out based on unique requirements, further providing a branching structure of previous executions with pass-fail indicators and execution specifics. Not only organizing the test scripts but also providing surface-level details of previous executions provides a moderate level of information alongside a high level of organization, enabling teams to be more organized and knowledgeable as testing requirements, and in turn test scripts, increase. Join us next week as we continue to delve into unique Qyrus features that revolutionize the testing process.
Learn how Deep Learning AI, and Machine Learning Models can help you shift left You want to ensure high-quality and bug-free applications. But here’s the struggle: conventional software testing methods are just unable to keep up with the pace at which you’re releasing. You’re potentially facing delayed releases, reduced product quality, and higher costs.
But what if the testing landscape could be transformed into something simpler? What if we used AI and Machine Learning to redefine and refine the parameters of coverage and detection? All of this, and more, is what this blog will talk about, as we explore how AI systems are in high demand, and how they are helping change modern testing landscapes for the better.
Current testing methods have their limitations Delivering high-quality, reliable software is no one man’s feat. It requires efficient collaboration across various teams and processes throughout the testing cycles. These include monitoring the standardization of testing practices, managing distributed test environments, and coordinating efforts among team members located in various locations. Let’s take a deeper dive into some other such challenges:
Application Development is Fragmented When there are hundreds or thousands of applications, usually driven by new acquisitions, they lead to fragmented testing of Agile development. This in turn makes the testing process time-consuming and resource-intensive.
Complex Frameworks make testing time-consuming Code-based testing requires complex frameworks that are time-consuming to maintain, difficult to scale, and challenging to integrate.
Complex Infrastructures Require more In-Depth Testing Due to its complexity, the proliferation of operating systems and devices requires significantly increased testing infrastructure. This leads to higher costs.
Collaborating with Siloed Teams is Difficult When different teams work in isolation from one another, making it difficult to test end-to-end user and customer journeys, especially when dealing with large amounts of data. This also causes communication breakdown, duplication of efforts, and inconsistency in testing.
Inadequate Testing Results Cause Higher Risks Lack of testing expertise, insufficient resources, time constraints, and lack of automation leads to inadequate testing results. This often becomes a challenge for organizations as it causes defects that go unnoticed, performance issues that are not identified, and compliance issues not meet regulatory requirements.
Improving Test Coverage with AI and ML Achieving comprehensive test coverage has been a longstanding challenge in software testing. AI and ML have opened new possibilities to overcome this. According to a recent study by MarketsandMarkets, the global AI in software testing market is expected to reach $1.7 billion by 2025, with a compound annual growth rate (CAGR) of 33.7%. Leading players in this space include Google, Microsoft, IBM, and innovative startups such as Applitools and Functionalize.
Here is how AI and ML tools can help you stay ahead of the curve, especially when you’re working with multiple applications at once:
Accelerate Testing across Web, Mobile, and APIs By automating testing processes, teams can achieve comprehensive test coverage, identify potential issues, and ensure the reliability of their web applications. Through AI and ML-powered web automation tools, large engineering teams are empowered to build, test, and deploy higher quality, error-free web applications faster and more efficiently.
Power Through with Codeless Testing Codeless automation capabilities help enhance application quality and improve speed to market. With codeless automated testing, teams can validate code functionality without the need for extensive manual coding. This streamlined approach saves time and effort while ensuring the reliability and security of the software and its integrations.
AI-backed Automated Testing Leveraging AI and ML tools to provide advanced capabilities for test automation through harnessing AI algorithms, teams automatically identify and fix test scripts, comprehensively test mobile applications, and analyze test data. These AI-driven features improve application quality, increase efficiency, and reduce time to market, ensuring reliable and high-performing software.
Reduce Costs of Manual testing The increased adoption of AI and ML in software testing brings promising cost-saving opportunities. By automating repetitive and time-consuming tasks, organizations can optimize their testing efforts, reduce the need for extensive manual testing, and speed up the overall testing process
Overall, these accelerated testing processes powered by AI and ML tools allow for faster time-to-market and increased productivity.
Shifting Left with AI Software Testing Shift Left is a practice intended to find and prevent defects early in the software delivery process. The idea is to improve quality by moving tasks to the left as early in the lifecycle as possible.
With AI and ML projects in the picture, software testing, and shifting left, is transforming software testing, enabling organizations to achieve comprehensive test coverage and detect defects early in the software development life cycle. With industry leaders like Google, Microsoft, and IBM investing in AI-powered testing solutions, the market is poised for exponential growth.
Comprehensive test automation solutions powered by AI and ML provide global engineering teams with the tools they need to ship more reliable software. The power of AI and ML when combined with Quality Assurance, Centralized Reporting, Deep Machine Learning Models, System Intelligence, and Seamless Integrations will truly redefine software testing processes for the better. Qyrus is at the forefront of the shift towards AI and ML-powered software testing. With its innovative platform, and patented AI Algorithms to build its all-in-one testing platform. In fact, here are some patented Qyrus features used by global engineering teams every day to test software faster:
Automated Test Maintenance with Healer Qyrus’ antidote for test flakiness, brittleness, and fragmentation, Healer is a lifesaver for testers. It reduces efforts in areas like script maintenance with its self-healing capabilities. Healer utilizes AI to detect test step changes and perform automatic script corrections. It reduces script rebuilding efforts in case of UI changes or redevelopment initiatives. This eliminates situations like manual object identification and determination of locator values in case of “object not found” errors.
Exploratory Testing with Rover Rover is a cutting-edge autonomous testing solution that uses deep reinforcement learning to generate intelligent tests, eliminating the need for human involvement. It operates as a fully automated black-box testing solution, requiring only your application. Rover generates and executes real-time test inputs effortlessly, without relying on an expert tester to determine testing scope, timing, or inputs. It represents a groundbreaking advancement in testing.
AI-Based Conversational Interface Testing with BotMetrics Qyrus’ BotMetrics is a Conversational BOT Testing Platform, an AI that tests an AI. It provides users (“a chatbot developer”) the ability to test their bot in a highly automated and regressive manner. BotMetrics provides AI capabilities specifically tailored for testing AI-based conversational interfaces. With BotMetrics, companies can efficiently validate and enhance the quality of their AI-driven conversational interfaces without the need for exclusive test script development.
Natural Language Test Building with QyrusBot QyrusBot, a powerful tool offered by Qyrus, enables natural language test building. Testers can write or speak their test cases, streamlining the test creation process and enhancing productivity.
If you would like to streamline the software testing processes powered by AI and ML to see significant improvement in software development outcomes and produce high-quality code, try Qyrus for free now.
We’re excited to present this week’s Feature Friday, where we unravel the transformative power of Qloudbridge in the realm of software testing. Qyrus, the driving force behind cutting-edge testing solutions, has expanded its offerings to include desktop application testing through Qloudbridge. In this edition, we’ll delve into the seamless integration, effortless script creation, and improved testing experience that Qloudbridge brings to testers, developers, and business technologists alike.
Amy: Qloudbridge is Qyrus’ testing brought to the desktop! Now, users can perform desktop application testing right on their own machines! No longer is desktop application testing segregated from the world of codeless automated testing. Qyrus is bringing the testing to you!
Jorell: With the help of QSpy, testers can find locator values for the desktop application testing. Testers don’t have to have the values before the test creation, and the creation of these scripts is just as easy as on our cloud-based platform.
What is Qloudbridge’s overall impact on the testing process?
Amy: Well, desktop-based testing is something that our clients and prospects have been constantly asking for. Qyrus already offers the ability to test web and mobile applications alongside APIs, but desktop testing was a hole in our defenses in a way.
Jorell: Now with the addition of Qloudbridge, we will see improvements in all aspects of testing when it comes to testing desktop applications. Users can build tests quicker, execute them in a better fashion, and receive comprehensive and robust reports.
How might Qloudbridge help testers, developers, and business technologists? What value can this feature bring?
Jorell: Testers are able to now quickly test desktop applications just like they are able to test their web and mobile applications! And when it comes to developers, that means that they get better and more timely feedback on their desktop applications under development. If some bug exists, it can be caught much quicker.
Amy: Testing web and mobile applications can be hard enough, but without a platform like Qyrus to test those applications, it would be undoubtedly harder. That was the case with desktop application testing, as well, that is until we released Qloudbridge. Now, business technologists can even take the testing into their own hands using our intuitive platform!
Does the same or similar functionality exist without Qyrus, and how do competitors address similar problems?
Amy: Desktop testing exists out there, but nothing quite as comprehensive as Qyrus! We are the all-in-one platform and one-stop shop for all your testing needs! That means that we can not only help you with your web and mobile application testing but also with your desktop now! And it’s all centrally located on one platform.
How do you see Qloudbridge impacting day-to-day operations across organizations?
Jorell: The speed at which testers are able to build and execute these tests for their desktop applications is unparalleled to what it most likely was previously. Now, with things being so much quicker, testers have more time to focus on other tasks. These could be looking for edge cases and scenarios and expanding test coverage, as well as improving their testing ecosystem overall.
Amy: Furthermore, using Qloudbridge, testers can expand their testing coverage to include business processes that require integrations with desktop-based applications like SAP. And at the end of the day, everything on Qyrus ties together. Whether it’s the web, mobile, or desktop application testing or testing APIs and end-to-end business processes, Qyrus has you covered!
As we conclude this Feature Friday, we have witnessed the immense impact of Qloudbridge on the testing landscape. By bringing desktop application testing to the fingertips of users, Qyrus has addressed a crucial need within the industry. Testers can now build and execute tests faster, developers receive timely feedback, and business technologists gain control over the testing process. Qloudbridge has become an invaluable tool, revolutionizing day-to-day operations across organizations and ensuring comprehensive testing coverage for desktop applications.
Quality assurance (QA) has come a long way since the manual testing days of the 80s. Today, the use of AI in test automation accelerates QA at a never-before-seen scale. For instance, 30% of developers now leverage AI and machine learning for testing requirements.
Industry research indicates that AI-augmented software testing will be in active use by 70% of enterprises by 2025. This study estimates that businesses that fail to capitalize on AI in test automation by that time might spend twice as much on testing and defect remediation.
Rise of AI in Test Automation Software quality standards are a major driver behind the increase in the adoption of AI test automation tools. An ever-shrinking go-to-market window creates quality issues that hamper digital transformation. Integration of AI in automation testing solutions mitigates such business risks. The use of AI in automation testing spans across Web, mobile, and API test environments. When combined with infrastructure options like device farms, these solutions ensure ideal test outcomes.
Evolution of Software Testing (Source: Gartner)
Modern AI-based software testing tools like Qyrus offer the following capabilities:
Advantages of AI in test automation Acceleration of test processes without compromises or manual intervention is the best advantage of using AI-augmented automation. Cost savings are a natural outcome of AI-enabled test automation tools.
Leveraging AI for software testing is a quantum leap compared to older options like browser automation frameworks or continuous testing. These test automation tools can also be leveraged for end-to-end assessment of AI-infused applications.
Considering the complexity of AI-infused applications, AI software testing tools fully automate test building and data generation. These can be executed at scale to account for all use cases.
Rover – Rover is an exceptional, cutting-edge autonomous exploratory testing solution that leverages deep reinforcement learning to generate tests with remarkable intelligence, eliminating the need for human involvement. Representing a groundbreaking advancement in the field of testing, Rover operates as a comprehensive and fully automated black-box testing solution that solely necessitates your application. It effortlessly generates test inputs in real time and executes them seamlessly, without any reliance on an expert tester to determine the scope of testing, the timing, or the necessary inputs.
Healer – Qyrus’ antidote for test flakiness, brittleness, and fragmentation, Healer is a lifesaver for testers. It reduces efforts in areas like script maintenance with its self-healing capabilities. Healer utilizes AI to detect test step changes and perform automatic script corrections. It reduces script rebuilding efforts in case of UI changes or redevelopment initiatives. This eliminates situations like manual object identification and determination of locator values in case of “object not found” errors.
QA potential of Rover and Healer AI-enabled tools like Rover and Healer are ideal for performing comprehensive functional tests without human intervention. The power of AI software brings in the following set of advantages:
Faster, stable UI tests: The significant efforts that go into UI tests affect overall development turnarounds. AI software testing features like Rover use dynamic locators to avoid such delays. It relies on the analysis of how users interact with each element’s attributes to create a real-time list of location tactics. This translates to no more testing failures due to changes in element attributes.
Access user behavior insights: In addition to mapping user journeys across a mobile application, Rover is an ideal solution to visualize navigational flows for the creation of newer tests. Such use cases of AI in test automation are also ideal to capture mobile device performance metrics.
Prevent flaky tests: Many man-hours are spent on failed functionality tests and related troubleshooting – even in software testing automation environments. Self-healing features like Healer use the predictive capabilities of AI in test automation to avoid such issues. Easy availability of deployable locator types and values in case of failure ensures a quick return to base functionality.
Learn from production data: The use of AI in automation testing is ideal to kick off knowledge management initiatives that utilize production data. Qyrus’ rich AI feature set observes and learns from app usage patterns. QA teams can harness this rich knowledge base to design new tests that improve product efficiency.
Improve defect tracking: Errors in test outcomes are common in unobserved test environments. Prevent such instances with the use of AI in test automation. In this case, Healer monitors scripts for errors and initiates timely changes that augment defect-tracking capabilities.
Leverage visual testing: Manual methods of visual Web page validation introduce a high probability of errors. Reliance on AI in automation testing is valuable for such design assessments. The healer is ideal for proactively monitoring application bugs and errors for visual validation. It prevents error-free UI access for users.
Enhance API quality: API tests call for a high degree of expertise and usage of multiple tools. AI test automation tools streamline the massive data analysis requirements associated with API testing. A case in point is the Qyrus platform, which uses a codeless taxonomy-driven interface to make the tester’s life easier and more efficient. The GUI also allows the reuse of functional API tests for the creation of business processes.
Unlock the AI-rich future Dynamically changing application requirements can be major setbacks for conventional test automation environments. The adoption of AI in test automation use cases mitigates such challenges.
Ensure simpler, smarter, and scalable AI software testing capabilities with Qyrus’ comprehensive software test automation platform. Contact us today to discover the rich benefits that AI can bring to your software testing environment.
Kumar Vivek
Development
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