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How is AI transforming the future of test automation?
AI is revolutionizing test automation by enhancing speed, accuracy, and efficiency in software testing. Machine learning algorithms help optimize test case generation, identify high-risk areas for testing, and predict potential defects, reducing the time spent on manual test creation. AI-powered tools like self-healing automation scripts adapt to UI changes, eliminating the need for constant maintenance. Additionally, AI improves test coverage by analyzing vast datasets, ensuring comprehensive validation. As AI continues to evolve, it is expected to further streamline the testing process, making it faster and more intelligent, while enabling testers to focus on more complex tasks.
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