期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：1
出版社：S&S Publications
摘要：Testing i s t h e most important analytic quality assurance measure for software. Thesystematic design of test cases is crucial for test quality. Structure - oriented test methods, which define testcases on the basis of the internal program structures, are widely used test data generation in program testing isthe process of identifying a set of data which satisfies given testing criterion. Most of the existing test datagenerators u s e symbolic evaluation to derive test data.Evolutionary testing is a promising approach for the automation of structural test case design whichsearches test data that fulfill given structural test criteria by means of evolutionary computation. In this paperwe present our evolutionary test environment, which performs fully automatic test data generation for moststructural test methods based on actual execution of statistical testing through poisson distribution. We shallreport on the results gained from the testing of real-world software modules. For most modules we reached fullcoverage for the structural test criteria.
关键词：Test Data Generation; Poisson distribution; Evolutionary Test; Structural Test case Design
