期刊名称：International Journal of Computer Science and Network Solutions
印刷版ISSN：2345-3397
出版年度：2014
卷号：2
期号：5
页码：80-90
出版社：International Journal of Computer Science and Network Solutions
摘要：In this paper, a method for the optimization of data test in mutation testing is introduced. Mutationtesting tries to introduce faults to the program under test and to find them by test data sets, if theyare not fount these failures, testers should improve this data. During this process, program isanalyzed. Usually in this kind of testing method, evolutionary algorithms, such as Simple Geneticand Bacteriological are used for improving of test data set. Measurement of mutation rate and crossover are considered a big challenge, generally they are obtained by of repeated experiments with alarge degree of difficulty. In the suggested algorithm, however, this task is done automatically
