In a sophisticated Hybrid Testing Framework, how is AI leveraged to optimize test case selection?
- Automation of test case creation
- Generation of dynamic test scenarios
- Predictive analysis of historical test results
- Real-time adaptation to application changes
AI in a Hybrid Testing Framework can optimize test case selection by providing real-time adaptation to application changes. It uses intelligent algorithms to dynamically select relevant test scenarios based on the current state of the application. This ensures that the testing efforts focus on areas of the application most susceptible to changes, improving efficiency and the ability to catch defects early in the development process.
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