MuTMuT:多线程代码突变测试的有效探索

Miloš Gligorić, V. Jagannath, D. Marinov
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引用次数: 53

摘要

突变测试是一种测量测试套件质量的方法。给定一个被测试的系统和一个测试套件,突变被系统地插入到系统中,并且测试套件被执行以确定它检测到哪些突变。突变测试的主要成本是在所有突变体上执行测试套件所需的时间。当被测试的系统是多线程的时候,这个成本甚至更大:不仅测试套件中的测试用例在许多变体上执行,而且每个测试用例都是为多个可能的线程调度执行的。我们引入了一个通用框架,可以减少多线程代码的突变测试时间。我们在通用框架中介绍了四种技术,并在称为MuTMuT的工具中实现了其中两种技术。我们在八个多线程程序上评估MuTMuT。结果表明,MuTMuT减少了突变测试的时间,比直接执行突变大大减少,与基本技术相比,高级技术最多减少77%。
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MuTMuT: Efficient Exploration for Mutation Testing of Multithreaded Code
Mutation testing is a method for measuring the quality of test suites. Given a system under test and a test suite, mutations are systematically inserted into the system, and the test suite is executed to determine which mutants it detects. A major cost of mutation testing is the time required to execute the test suite on all the mutants. This cost is even greater when the system under test is multithreaded: not only are test cases from the test suite executed on many mutants, but also each test case is executed for multiple possible thread schedules. We introduce a general framework that can reduce the time for mutation testing of multithreaded code. We present four techniques within the general framework and implement two of them in a tool called MuTMuT. We evaluate MuTMuT on eight multithreaded programs. The results show that MuTMuT reduces the time for mutation testing, substantially over a straightforward mutant execution and up to 77% with the advanced technique over the basic technique.
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