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Study of an Improved Genetic Algorithm for Multiple Paths Automatic Software Test Case Generation
Yao, Chenglong; Ma, Zhujuan; Liu, Feng; Zhu, Erzhou
刊名Lecture Notes in Computer Science
2017
卷号Vol.10385页码:402-408
关键词Software testing Test case generation Genetic algorithm Multiple paths coverage
ISSN号0302-9743
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2201574
专题安徽大学
作者单位1.Anhui Univ, Sch Comp Sci & Technol, Hefei 230601, Anhui, Peoples R China
2.Anhui Agr Univ, Sch Econ & Tech, Hefei 230011, Anhui, Peoples R China
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GB/T 7714
Yao, Chenglong,Ma, Zhujuan,Liu, Feng,et al. Study of an Improved Genetic Algorithm for Multiple Paths Automatic Software Test Case Generation[J]. Lecture Notes in Computer Science,2017,Vol.10385:402-408.
APA Yao, Chenglong,Ma, Zhujuan,Liu, Feng,&Zhu, Erzhou.(2017).Study of an Improved Genetic Algorithm for Multiple Paths Automatic Software Test Case Generation.Lecture Notes in Computer Science,Vol.10385,402-408.
MLA Yao, Chenglong,et al."Study of an Improved Genetic Algorithm for Multiple Paths Automatic Software Test Case Generation".Lecture Notes in Computer Science Vol.10385(2017):402-408.
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