What does Virtuoso QA do?
Virtuoso QA works towards automating the QA testing process through AI. Its primary functions involve providing deep analysis of application state, facilitating root cause analysis for tests, and offering a combined user interface and API calls testing for true user experience simulation. Additional functions include developing industry-specific testing solutions and access to a wide range of learning resources.
What are Virtuoso QA's key features?
Key features of Virtuoso QA include test authoring in natural language, root cause analysis, combining of user interface testing and API calls, offering self-healing tests powered by AI and machine learning, scalable deployment, user requirement testing, and a variety of learning resources.
How does Virtuoso QA's AI and machine learning capabilities aid in testing?
Virtuoso QA's AI and machine learning capabilities facilitate functionality such as self-healing and scalable deployment. This means that, using techniques derived from AI and machine learning, tests can self-correct or 'heal' in response to detected problems, thus ensuring the reliability of the testing process. Additionally, the scalable deployment feature allows Virtuoso QA to scale its capabilities according to current and future business needs.
How does Virtuoso QA assist with user requirement testing?
Virtuoso QA facilitates user requirement testing by allowing tests to be written in a natural language format, similar to manual testing. This capability eases the process of writing tests directly from user requirements, which is beneficial for ensuring that the software meets the needs of the end-users.
How does Virtuoso QA carry out root cause analysis?
Virtuoso QA carries out root cause analysis by thoroughly analysing the state of apps that require testing. Upon executing the tests, it aids in identifying the underlying issues that have caused the test execution errors.
How can Virtuoso QA's resources like webinars, blogs and eBooks help me?
Virtuoso QA's resources such as webinars, blogs and eBooks can provide additional insights into effective test authoring, execution, maintenance and report generation. These resources can help users understand and maximise the tool's capabilities, stay updated with the latest enhancements and learn best practices in testing.
What are the cost and time efficiencies of using Virtuoso QA?
Virtuoso QA can help reduce testing costs and time-to-market. Its advanced features like AI-powered self-healing tests and scalable deployment allow for quicker deployment and less resource-intensive test maintenance, resulting in lower operational costs. Faster and more efficient testing processes can also enable quicker product releases.
How does Virtuoso QA ensure the quality of applications?
Virtuoso QA ensures the quality of applications by carrying out deep state analysis of applications prior to the execution of tests and providing in-depth root cause analysis upon test execution. It combines user interface testing with API calls for a comprehensive testing process. With AI and ML capabilities, the tool can perform self-healing actions, which automatically corrects the tests, ensuring efficient and quality-tested application delivery.
How does Virtuoso QA use Robotic Process Automation?
Virtuoso QA uses Robotic Process Automation (RPA) to automate repetitive tasks involved in testing. This includes actions like clicking on links or filling forms in the application under test, which are typically time-consuming when done manually.
What is the role of Natural Language Programming in Virtuoso QA?
Natural Language Programming in Virtuoso QA simplifies the process of writing tests by allowing them to be written in natural language format, akin to manual testing. It fosters easy translation of user requirements into robust tests, making the test authoring process intuitive and efficient.
Who can use Virtuoso QA?
Virtuoso QA is designed for a variety of roles including QA managers, QA practitioners, and senior executives. Due to its Natural Language Programming feature, professionals without extensive coding knowledge can also benefit from it.
What is the functionality of combining user interface testing and API calls in Virtuoso QA?
Virtuoso QA combines user interface (UI) testing and API calls to provide a more authentic simulation of a user's experience. UI testing ensures the application behaves correctly from the user's perspective, while API calls allow testers to assess how the application responds to automated instructions, thereby validating the application's functionality, reliability and performance.
How does Virtuoso QA handle user experience testing?
Virtuoso QA utilizes a blend of user interface testing and API calls to simulate and evaluate the user journey from start to end. This real-world simulation ensures that the application is tested for not just isolated features but also for the integrated user experience as a whole.
Does Virtuoso QA have scalable deployment features?
Yes, Virtuoso QA comes with scalable deployment features. These features make the tool adaptable to a wide variety of project sizes and complexities. As a result, Virtuoso QA can cater to both current and future business needs seamlessly.
What is Virtuoso QA's commitment towards application failure risk reduction?
Virtuoso QA is committed to minimizing the risk associated with application failure through its comprehensive testing features. It offers deep state analysis of applications under test, performs root cause analysis upon the execution of tests, and has self-healing abilities to correct the detected problems, all contributing to reducing application failure risks.
How can I calculate my Virtuoso Test Automation ROI?
You can calculate your Virtuoso Test Automation ROI through the ROI Calculator available on Virtuoso QA's website. This tool computes the return on investment for test automation, factoring in variables such as cost savings, time savings and quality improvements.
What does it mean when Virtuoso QA offers 'self-healing' tests?
When Virtuoso QA refers to 'self-healing' tests, it means that the tool can automatically adjust to minor changes in the application under test, correcting or 'healing' itself in response to problems detected. This is facilitated by the tool's AI and machine learning capabilities, drastically improving the reliability and resilience of testing efforts.