{"title":"基于敏捷测试的遗传算法改进新技术","authors":"Gurpreet Kaur, J. Bajwa","doi":"10.1109/ICMETE.2016.118","DOIUrl":null,"url":null,"abstract":"The agile based testing is the technique in which model has been developed for testing the software. The various test cases are generated which can test the software. In this paper, agile based testing is reviewed and problem related to model based technique is discussed. The main focus of this paper is to enhance genetic algorithm for model based testing. The improved technique provides better results in terms of accuracy and error detection.","PeriodicalId":167368,"journal":{"name":"2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Technique for Improvement in Genetic Algorithm for Agile Based Testing\",\"authors\":\"Gurpreet Kaur, J. Bajwa\",\"doi\":\"10.1109/ICMETE.2016.118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The agile based testing is the technique in which model has been developed for testing the software. The various test cases are generated which can test the software. In this paper, agile based testing is reviewed and problem related to model based technique is discussed. The main focus of this paper is to enhance genetic algorithm for model based testing. The improved technique provides better results in terms of accuracy and error detection.\",\"PeriodicalId\":167368,\"journal\":{\"name\":\"2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMETE.2016.118\",\"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 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMETE.2016.118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Technique for Improvement in Genetic Algorithm for Agile Based Testing
The agile based testing is the technique in which model has been developed for testing the software. The various test cases are generated which can test the software. In this paper, agile based testing is reviewed and problem related to model based technique is discussed. The main focus of this paper is to enhance genetic algorithm for model based testing. The improved technique provides better results in terms of accuracy and error detection.