This repository contains experiments to analyze testing patterns like unit, integration and E2E tests in open-source software repositories using Pre-Trained machine learning models. The list of repositories analyzed were derived from two datasets - ML Products dataset and the PeaTMOSS dataset. For more details, check out this report / slides.
- To analyze tests using GitHub workflows
python git_actions.py
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.