Narendar Kumar Ale and Rekha sivakolundhu, University Of Cumberlands, USA

Software testing remains an essential phase of the software development lifecycle particularly for web-based applications. The integration of AI and ML automation testing has reached new heights in efficiency accuracy and coverage. This paper discusses the latest advancements in web automation testing tools that leverage AI and ML providing insights into their benefits and selection criteria.

Automation Testing, AI, ML, Web Applications