Results for Evaluating the Impact of Mutant Schemata and Test Selection On Speeding Up Mutation Analysis.

This dataset accompanies the research article "Evaluating the Impact of Mutant Schemata and Test Selection On Speeding Up Mutation Analysis", accepted for publication in Software Testing, Verification and Reliability (STVR). The study investigates two cost-reduction techniques—mutant schemata and coverage-based test selection—to improve the scalability of mutation analysis in Java projects. The dataset includes: Mutation analysis logs for 16 open-source Java projects. Coverage data, genereted clover.db files plush the relevant tables in the database. Results from four configurations: baseline, test selection only, mutant schemata only, and combined. Project metadata, such as lines of code, number of tests, coverage percentages, and compile/test times. All experiments were conducted using MediumDarwin in a high-performance computing environment. The dataset supports reproducibility. This dataset is intended for researchers and practitioners interested in software testing, mutation analysis, and performance optimisation of testing tools.