{"title":"A Genetic Algorithm for Test Suite Optimization","authors":"Chetan J. Shingadiya, Tjprc","doi":"10.24247/ijcseitrjun20204","DOIUrl":null,"url":null,"abstract":"Software testing is one of the most important parts of the software development process. In software development, developers always rely on software testing to deal with bugs. The problem of software testing in software development is one of the most important and research areas. Here, test set optimization plays an important role in system performance. The genetic algorithm is one of the techniques, widely used for optimization based on problems inspired by nature. In this article, we demonstrate the genetic algorithm with tournament selection techniques. We, evaluate system performance based on a number of test inputs","PeriodicalId":185673,"journal":{"name":"International Journal of Computer Science Engineering and Information Technology Research","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Science Engineering and Information Technology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24247/ijcseitrjun20204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Software testing is one of the most important parts of the software development process. In software development, developers always rely on software testing to deal with bugs. The problem of software testing in software development is one of the most important and research areas. Here, test set optimization plays an important role in system performance. The genetic algorithm is one of the techniques, widely used for optimization based on problems inspired by nature. In this article, we demonstrate the genetic algorithm with tournament selection techniques. We, evaluate system performance based on a number of test inputs
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