![]() 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 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. 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. Ideally, one would use large "real-world" software systems to minimize the threats to external validity when evaluating research tools. The favorite programs, applications that you cannot live without and use regularly, may reveal the most about you. However, neither choosing such software systems nor applying research prototypes to them are trivial tasks. ![]() ![]() The following list reveals my top 5 Windows programs. I have limited the list of programs to those that I use actively which means that security software such as EMET or Malwarebytes Anti-Malware are not on that list.
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