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Design of a Fuzzy model to detect equivalent mutants for weak and strong mutation testing

机译:用于检测弱突变和强突变测试的等效突变体的模糊模型的设计

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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.
机译:变异测试是一种软件测试技术,其原理是将简单的更改应用于称为变异的程序。突变体有助于绘制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,则称该突变体已“被杀死”。如果故障没有被发现,则突变体是“活的”。等效突变体是活体突变体,无论给出什么测试输入,它都不会表现出与原始程序输出不同的输出。重要的是找出突变体是否等效。在本文中,我们提出了用于弱突变和强突变测试的模糊模型,以找出突变体是否等效。

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