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AI-based software testing uses artificial intelligence, machine learning, and natural language processing to make QA processes smarter, faster, and more efficient. It can automatically generate, execute, and maintain test cases while adapting to UI changes, reducing manual effort. AI tools analyze application behavior, historical test data, and user patterns to predict defects, improve test coverage, and detect bugs earlier. In 2026, AI testing supports smart automation, visual testing, and self-healing scripts. Overall, it helps QA teams deliver higher software quality, reduce testing time, and make testing more scalable and reliable for modern applications.
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Posted : 10/02/2026 6:18 am