🔗 Code coverage: How to measure it, understand the metrics, and improve your tests

Code coverage often remains underutilized, despite its critical role in software development. Understanding which areas your tests cover is essential for reducing incidents. This article details key coverage metrics and tools to measure them, such as Qodana and JaCoCo, and guides improving coverage without unnecessary effort. It advocates for realistic targets—generally, 80% is seen as a good benchmark. However, high coverage not only signifies quality; it doesn't guarantee bug-free code. Practical tips include focusing on high-risk areas, writing focused unit tests, and integrating coverage checks into CI workflows. Ultimately, meaningful tests that validate behaviors are far more valuable than merely boosting coverage percentages. Mentions of tools and strategies cater to developers seeking to enhance their testing efficiency and maintain software quality.