ACM Transactions on Software Engineering and Methodology (TOSEM) Association for Computing Machinery Ī Large-Scale Evaluation of Automated Unit Test Generation Using EvoSuite GORDON FRASER, University of Sheffield ANDREA ARCURI, Simula Research Laboratory Research on software testing produces many innovative automated techniques, but because software testing is by necessity incomplete and approximate, any new technique faces the challenge of an empirical assessment. In this article we present the results of a large experiment in unit test generation using the EVOSUITE tool on 100 randomly chosen open-source projects, the 10 most popular open-source projects according to the SourceForge Web site, seven industrial projects, and However, neither choosing such software systems nor applying research prototypes to them are trivial tasks. Ideally, one would use large "real-world" software systems to minimize the threats to external validity when evaluating research tools. However, demonstrating scientific advance is not necessarily the same as demonstrating practical value even if EVOSUITE worked well on the software projects we selected for evaluation, it might not scale up to the complexity of real systems. In the past, we have demonstrated scientific advance in automated unit test generation with the EVOSUITE tool by evaluating it on manually selected open-source projects or examples that represent a particular problem addressed by the underlying technique. Regardless of the operation they go for, users should not encounter any issues or glitches.A Large-Scale Evaluation of Automated Unit Test Generation Using EvoSuite A Large-Scale Evaluation of Automated Unit Test Generation Using EvoSuiteĪ Large-Scale Evaluation of Automated Unit Test Generation Using EvoSuite GORDON FRASER, University of Sheffield ANDREA ARCURI, Simula Research Laboratory Research on software testing produces many innovative automated techniques, but because software testing is by necessity incomplete and approximate, any new technique faces the challenge of an empirical assessment.
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