This article explains mutation testing, its role in assessing test case quality, introduces the Java tool PITest, outlines a step‑by‑step workflow, presents mutation coverage results, and describes common mutation operators such as condition boundary, negated conditionals, and increments.
This article explains the fundamentals of fuzz testing, describes its core concepts and step‑by‑step process, compares mutation‑based and generation‑based test case generation algorithms, and details the popular open‑source AFL tool, its workflow, mutation strategies, and practical advantages.
The article details how China Construction Bank's software development center enhanced code quality and accelerated delivery by integrating unit testing, test‑driven development, mutation testing, automated test code generation, code‑style scanning, and shared template mechanisms within a mature DevOps pipeline.
This article explains why evaluating test case effectiveness matters, defines effectiveness as the ratio of discovered bugs to total bugs, and introduces mutation testing with a fully automated robot that injects bugs, runs tests, compares results, and reports a quantitative effectiveness score.
