Rijwan Khan, Mohd Amjad, Akhilesh Kumar Srivastava
{"title":"基于遗传算法的路径测试自动生成测试用例优化","authors":"Rijwan Khan, Mohd Amjad, Akhilesh Kumar Srivastava","doi":"10.1109/CICT.2016.16","DOIUrl":null,"url":null,"abstract":"Software testing is a process for insuring the delivery of an error free software to customers. The success or failure of the software to achieve its desirability is depend on the software testing components. All the software industries spend a lot of their money and time for software testing process. Automatic testing is a key area where cost and time of software testing process has been considerably reduced as compared to manual testing. Path testing is a process of finding all du-path coverage for a given program. In this paper genetic algorithm is used for automatic test cases generation and optimization. The proposed method with genetic algorithm accepts a set of inputs and check of for path coverage.","PeriodicalId":118509,"journal":{"name":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Optimization of Automatic Generated Test Cases for Path Testing Using Genetic Algorithm\",\"authors\":\"Rijwan Khan, Mohd Amjad, Akhilesh Kumar Srivastava\",\"doi\":\"10.1109/CICT.2016.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software testing is a process for insuring the delivery of an error free software to customers. The success or failure of the software to achieve its desirability is depend on the software testing components. All the software industries spend a lot of their money and time for software testing process. Automatic testing is a key area where cost and time of software testing process has been considerably reduced as compared to manual testing. Path testing is a process of finding all du-path coverage for a given program. In this paper genetic algorithm is used for automatic test cases generation and optimization. The proposed method with genetic algorithm accepts a set of inputs and check of for path coverage.\",\"PeriodicalId\":118509,\"journal\":{\"name\":\"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICT.2016.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Computational Intelligence & Communication Technology (CICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICT.2016.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of Automatic Generated Test Cases for Path Testing Using Genetic Algorithm
Software testing is a process for insuring the delivery of an error free software to customers. The success or failure of the software to achieve its desirability is depend on the software testing components. All the software industries spend a lot of their money and time for software testing process. Automatic testing is a key area where cost and time of software testing process has been considerably reduced as compared to manual testing. Path testing is a process of finding all du-path coverage for a given program. In this paper genetic algorithm is used for automatic test cases generation and optimization. The proposed method with genetic algorithm accepts a set of inputs and check of for path coverage.