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AI Self-Healing Tests Raise Questions About Fix Accuracy in QA

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AI-powered testing tools like mabl, Testim, and Functionize can automatically repair broken tests by identifying new elements that restore passing status. However, a passing test does not necessarily confirm that the correct fix was applied, raising concerns about test integrity. If an AI replaces a broken locator with a different element, it may not be the element the original test was designed to target. Maintaining the original intent of a test requires sufficient context, which automated systems do not always have. As test suites grow larger, experts argue that human QA review remains essential to distinguish between a test that merely passes and one that has been genuinely fixed.

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AI Self-Healing Tests Raise Questions About Fix Accuracy in QA · ShortSingh