Vasundhara Bhatia, Abhishek Singhal
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引用次数: 5

摘要

突变测试是一种软件测试技术,它的工作原理是对被称为突变的程序进行简单的更改。突变体有助于映射实际故障的影响,并生成有助于检测这些故障的测试套件。如果使用给定的测试输入检测到故障,则说突变体被“杀死”。如果没有检测到故障,那么突变体就是“活的”。等效突变体是活的突变体,无论给出什么测试输入,它都不会显示与原始程序输出不同的输出。弄清突变体是否等效是很重要的。在本文中,我们提出了一个用于弱突变和强突变检测的模糊模型,以确定突变是否等效。
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Design of a Fuzzy model to detect equivalent mutants for weak and strong mutation testing
Mutation testing is a software testing technique which works on the principle of applying simple changes to a program which is known as a mutant. A mutant helps to map the effects of real faults and generate test suite which helps to detect these faults. If the faults are detected using a given test input then the mutant is said to be “killed”. If the faults are not detected thereupon the mutant is “live”. Equivalent mutants are live mutants, which will not exhibit a different output from the original program's output, no matter what test input is given. It is important to find out if a mutant is equivalent. In this paper, we have proposed a Fuzzy model for weak and strong mutation testing to find out whether a mutant is equivalent or not.
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