In a scenario where system functionality is complex and interconnected, how would Model-Based Testing improve test accuracy?
- By automating test cases based on predefined models
- By conducting exploratory testing
- By skipping testing in interconnected systems
- By using only manual testing
Model-Based Testing improves test accuracy in complex, interconnected systems by automating test cases based on predefined models. These models capture the expected behavior of the system, helping to ensure comprehensive test coverage and reducing the likelihood of overlooking critical interdependencies within the system.
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