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基于免疫算法的HLR软件系统测试用例生成 被引量：1

Method of Generating Test Case for HLR Software Based on Immune Genetic Algorithm
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摘要 提出了一种基于免疫遗传算法(Immune Genetic Algorithm,简称IGA)的HLR软件测试用例生成模型(Model of Test Case Generation of HLR Software,简称MTCGHS),并详细地介绍了IGA算法的基本思想。通过将IGA算法与传统遗传算法和随机算法在HLR软件测试用例生成中的比较,说明了IGA算法的效率明显高于传统遗传算法和随机算法,同时进一步验证了模型的正确性、可行性。 This paper suggested a model of test case generation of HLR software （MTCGHS） based on an immune genetic algorithm （IGA）, and introduced the basic thinking of IGA in details. Through Comparison of IGA with both Traditional Genetic Algorithm and random Algorithm, IGA is further proved to be superior in generating test case for HLR software, and at the same time, the correctness of MTCGHS is validated.
作者 马臻 陈天 李元 孙苗 郭锐
机构地区 中国联通陕西分公司
出处 《计算机科学》 CSCD 北大核心 2008年第12期244-246,272,共4页 Computer Science
基金 国家863高技术研究发展计划项目(2005AA113150)支持
关键词 免疫遗传算法 HLR软件测试用例生成模型 疫苗 IGA, MTCGHS, Vaccine
分类号 TP311.5 [自动化与计算机技术—计算机软件与理论] TP311.52 [自动化与计算机技术—计算机软件与理论]
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参考文献9

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二级参考文献22

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计算机科学
2008年 第12期

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