Data-driven test selection at scale
Sonu Mehta, Farima Farmahinifarahani, Ranjita Bhagwan, Suraj Guptha, Sina Jafari, Rahul Kumar, Vaibhav Saini, Anirudh Santhiar · 2021
Large-scale services depend on Continuous Integration/Continuous Deployment (CI/CD) processes to maintain their agility and code-quality. Change-based testing plays an important role in finding bugs, but testing after every change is prohibitively expensive at a scale where thousands of changes are committed every hour. Test selection models deal with this issue by running a subset of tests for every change.