Test Optimization for Pull Request
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Effectively testing code during pull requests is essential for maintaining code quality and preventing integration issues. However, running the entire test suite for each pull request can be time-consuming and reduce developer productivity.
TIA intelligently identifies and executes only the tests that are relevant to the code changes in a pull request. This targeted approach significantly reduces testing time while maintaining comprehensive code coverage and enhancing developer productivity.
TIA utilizes statistical modeling based on the target branch, not the specific pull request. Organizations can choose between two modeling strategies:
From Scratch: Retrain TIA for each branch.
Building Upon Previous Branch: Leverage the previous branch's TIA model to minimize retraining and expedite integration.