Description
AI-driven Test Automation Frameworks use intelligent algorithms to design, generate, and execute automated test cases efficiently. These frameworks analyze codebases, user behavior, and historical bug data to create robust test scenarios, enhancing coverage and reliability while reducing manual intervention. By integrating AI into test automation, teams can rapidly identify defects, shorten release cycles, and ensure high-quality software deliverables.
