Hey,
Of course, I can highlight various use cases in test automation:
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Test Script Generation: AI can automatically generate test scripts from natural language test cases, reducing manual effort.
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Test Data Generation: AI tools can create test data, enhancing test coverage and realism.
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Test Execution and Orchestration: AI can execute tests across different environments and platforms, optimizing testing resources.
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Defect Prediction: AI models can predict potential defects based on historical data, helping prioritize testing efforts.
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Test Maintenance: AI-driven tools can detect and update tests affected by changes in the application, reducing maintenance overhead.
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Test Reporting and Analytics: AI can analyze test results, generate reports, and provide insights for continuous improvement.
These use cases demonstrate how AI enhances efficiency and effectiveness in test automation.