Launchable

Launchable’s machine learning model helps businesses identify and run tests with the highest probability of failing based on code, and test metadata. Launchable ranks tests by importance to code changes and allows users to create a unique subset in real-time. Predictive test selection builds ML models to find the correlation between code metadata and test failures. Businesses can use their test suite data to improve the developer experience. It helps teams measure the health of your test suites and take action to improve test entropy with insights into flaky tests, test session duration, test session frequency, and test session failure ratio.