5-Step Strategy for Optimizing Slow Tests
Blog post from Semaphore
Professional software development heavily relies on feedback loops, which are significantly influenced by the speed of tests. Slow testing processes can hinder the momentum of engineering teams, delay releases, and compromise competitive advantage. To address this, utilizing platforms like Semaphore can be beneficial as they offer tools to identify and optimize slow tests. The process involves identifying poorly performing tests, prioritizing them, profiling for deeper insights, and optimizing to improve speed, following a cycle of continuous improvement. The testing pyramid suggests maintaining a balanced test suite with many unit tests, some integration tests, and fewer end-to-end tests, contrary to the slow suites that are often top-heavy. Optimization strategies include addressing various antipatterns, such as obsolete, mammoth-sized, and tightly-coupled tests, among others. By systematically identifying and resolving issues, development teams can achieve a faster CI pipeline, leading to more frequent and reliable releases.