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The advent of generative AI-based testing tools is poised to revolutionize the landscape of Quality Assurance (QA) in software development. As these intelligent automated QA testing tools harness the capabilities of artificial intelligence to create, execute, and adapt test cases autonomously, QA teams face the challenge and opportunity of evaluating their impact comprehensively. Here are the ways QA professionals will assess the power and effectiveness of these new generative AI-powered testing tools.