AI-powered test automation refers to the use of Artificial Intelligence (AI) and machine learning techniques in the testing process to automate tasks, reduce manual intervention, and improve testing efficiency and accuracy.
In AI-powered test automation, AI algorithms are used to analyze test data and identify patterns, anomalies, and correlations, allowing the system to make predictions, automate test case selection and optimize test execution.
Additionally, AI can also help to identify the root cause of test failures and provide suggestions for resolving them. By incorporating AI into the testing process, organizations can improve the speed, reliability, and efficiency of their testing efforts and better ensure the quality of their software applications.
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