软件测试数据生成的免疫遗传算法

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-01 DOI:10.1109/HIS.2007.37

A. Bouchachia

{"title":"软件测试数据生成的免疫遗传算法","authors":"A. Bouchachia","doi":"10.1109/HIS.2007.37","DOIUrl":null,"url":null,"abstract":"This paper aims at incorporating immune operators in genetic algorithms as an advanced method for solving the problem of test data generation. The new proposed hybrid algorithm is called immune genetic algorithm (IGA). A full description of this algorithm is presented before investigating its application in the context of software test data generation using some benchmark programs. Moreover, the algorithm is compared with other evolutionary algorithms.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"61","resultStr":"{\"title\":\"An Immune Genetic Algorithm for Software Test Data Generation\",\"authors\":\"A. Bouchachia\",\"doi\":\"10.1109/HIS.2007.37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims at incorporating immune operators in genetic algorithms as an advanced method for solving the problem of test data generation. The new proposed hybrid algorithm is called immune genetic algorithm (IGA). A full description of this algorithm is presented before investigating its application in the context of software test data generation using some benchmark programs. Moreover, the algorithm is compared with other evolutionary algorithms.\",\"PeriodicalId\":359991,\"journal\":{\"name\":\"7th International Conference on Hybrid Intelligent Systems (HIS 2007)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"61\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"7th International Conference on Hybrid Intelligent Systems (HIS 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HIS.2007.37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HIS.2007.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 61

摘要

本文旨在将免疫算子引入遗传算法中，作为解决测试数据生成问题的一种先进方法。这种新的混合算法称为免疫遗传算法(IGA)。本文对该算法进行了详细的描述，并利用一些基准程序研究了该算法在软件测试数据生成中的应用。并将该算法与其他进化算法进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An Immune Genetic Algorithm for Software Test Data Generation

This paper aims at incorporating immune operators in genetic algorithms as an advanced method for solving the problem of test data generation. The new proposed hybrid algorithm is called immune genetic algorithm (IGA). A full description of this algorithm is presented before investigating its application in the context of software test data generation using some benchmark programs. Moreover, the algorithm is compared with other evolutionary algorithms.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

7th International Conference on Hybrid Intelligent Systems (HIS 2007)

自引率

0.00%

发文量