Parallel mutation testing for large scale systems

Abstract Mutation testing is a valuable technique for measuring the quality of test suites in terms detecting faults. However, one its main drawbacks high computational cost. For this purpose, several approaches have been recently proposed to speed-up mutation process by exploiting resources distributed systems. bottlenecks detected when those techniques are applied large-scale This work improves performance using systems proposing new load distribution algorithm, and parallelising different steps process. To demonstrate benefits our approach, we report on thorough empirical evaluation, which analyses compares proposal with existing solutions executed The results show that outperforms state-of-the-art algorithms up 35% three scenarios, reaching reduction execution time of—at best—up 99.66%.