Java dataset and results

<p dir="ltr">This dataset contains the Java benchmark projects and experimental results used to evaluate a skill-based framework for LLM-assisted Java unit-test generation and iterative test repair.</p><p dir="ltr">The benchmark collection comprises Maven-based open-source Java projects, including Apache Commons CLI, Commons CSV, Commons Lang, Google Gson, and additional benchmark projects. For each benchmark, the release includes project manifests and target-method metadata used to define the unit-test generation tasks.</p><p dir="ltr">The experimental-results package contains one directory per experiment run.

Each run includes: (1) summary-level effectiveness metrics; (2) per-class and per-target execution records; (3) baseline results without skill injection; (4) results obtained with skill selection and iterative skill evolution; (5) coverage and, where enabled, mutation-testing measurements; (6) execution status and logs; and (7) skill-evolution records. The reported metrics include compilation success, test pass rate, line coverage, branch coverage, mutation score, and token usage.</p><p dir="ltr">The framework compares a no-skill baseline with a skill-enhanced setting.