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 |
推荐引用方式 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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