文章基本信息

标题：Optimized Test Case Generation Using Genetic Algorithm
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作者：Amit Kumar Sharma
期刊名称：International Journal of Computing and Business Research
电子版ISSN：2229-6166
出版年度：2013
卷号：4
期号：3
出版社：International Journal of Computing and Business Research
摘要：Today, Automated generation of test cases to test software product is very essential as it can decrease the time and cost of testing process. While manual testing is very time consuming and costly, Software companies are now turning towards automated testing tools and techniques. In this paper we explore how Genetic Algorithm, improves the quality and reliability of the software by generating optimized test cases. A genetic algorithm (GA) is a search algorithm based on principles from natural selection and genetic reproduction, adopted by Darwin. Three basic steps responsible for GA are (1) selection of initial chromosomes from the population, (2) performing crossover by exchanging the information between selected chromosomes and (3) performing mutation operation on the selected genes. This paper also presents the automated software testing architecture. At last, we are putting some amount of light on pitfalls of automated testing technique
关键词：Genetic Algorithms; Automated Testing; ;Chromosomes; Test Cases; Testing Tools