Explanation:
Artificial Intelligence (AI) is increasingly being integrated into testing tools to improve test case generation, defect prediction, and automation efficiency. A tester can explore how AI-driven tools are transforming traditional testing approaches. This topic can cover:
-
How AI helps in predicting bugs and improving test coverage.
-
Use of machine learning for self-healing test scripts.
-
Challenges testers face, such as data privacy, tool reliability, and lack of explain ability in AI decisions.
-
Real-world tools (like Testim, Applitools, Mabl) being used for AI-powered testing.
This will spark discussion around the future role of testers in an AI-driven world.