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What is the role of AI in automated testing?
AI plays a crucial role in enhancing automated testing by improving efficiency and accuracy. It can intelligently create, execute, and maintain test cases, adapting to changes in software applications. AI algorithms can analyze code, predict defects, and generate tests based on historical data. Additionally, machine learning models help identify patterns, enabling the system to detect anomalies faster. AI-based tools optimize test execution, reduce manual intervention, and ensure faster release cycles. Overall, AI empowers automated testing to become more reliable, dynamic, and adaptable to changing requirements, thus accelerating software development.
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