Using AI to enhance the effectiveness and efficiency of software testing is a hot topic these days. In this webinar, we will look beyond testing and into AI’s ability to transform the way software quality is managed.
Leading software test automation tools have started to incorporate AI driven capabilities, for instance to identify screen elements without regard to the underlying technologies, detect application changes and “self-heal” tests, generate test data based on test specifications, and automatically generate tests using various approaches. AI has potential applications in test management, including discovery of existing test assets and test selection for execution. Further, there are the intriguing prospects of using AI to define high quality requirements, assist in root cause analysis, and prevent defects.
Join Nous Infosystems and Tricentis in the discussion surrounding potential use cases for AI in software testing and quality, challenges in realizing meaningful results, and examples of solutions that address common hurdles. You will walk away with a sound appreciation of utilizing AI and ideas to explore in your organization to change the game of testing and quality.
Join this session to learn:
- Potential use cases for AI in software testing and quality
- Common challenges in the use of AI in testing
- AI driven solutions available for testing
- Various approaches for the adoption of AI in testing