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Title:
Cascade: A test generation tool for combinatorial testing
Author: Zhao, Yong (1) ; Zhang, Zhiqiang (1) ; Yan, Jun (2) ; Zhang, Jian (1)
Conference Name: IEEE 6th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2013
Conference Date: March 18, 2013 - March 20, 2013
Issued Date: 2013
Conference Place: Luxembourg, Luxembourg
Keyword: combinatorial testing ; test generation ; constrained optimization ; parameter constraints
Publish Place: IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States
Indexed Type: CPCI ; EI
ISSN: 2159-4848
ISBN: 978-0-7695-4993-4; 978-1-4799-1324-4
Department: (1) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing, China
Abstract: Combinatorial Testing (CT) is a black-box testing technique, which is used to test parameterized systems. Real applications often have some special testing requirements, especially parameter constraints. Our experimental results show that existing CT test generators cannot deal with constraints very well as the number of constraints increases. This is due to their constraint solving mechanisms, where constraint solving and parameter assignment are separated. In this paper, we propose a new CT test generation method based on constrained optimization, which combines these two together to mitigate the effect brought by the growing complexity of constraints. Our approach is implemented in a tool called 'Cascade', which can deal with common CT usage scenarios. © 2013 IEEE.
English Abstract: Combinatorial Testing (CT) is a black-box testing technique, which is used to test parameterized systems. Real applications often have some special testing requirements, especially parameter constraints. Our experimental results show that existing CT test generators cannot deal with constraints very well as the number of constraints increases. This is due to their constraint solving mechanisms, where constraint solving and parameter assignment are separated. In this paper, we propose a new CT test generation method based on constrained optimization, which combines these two together to mitigate the effect brought by the growing complexity of constraints. Our approach is implemented in a tool called 'Cascade', which can deal with common CT usage scenarios. © 2013 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16541
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Zhao, Yong ,Zhang, Zhiqiang ,Yan, Jun ,et al. Cascade: A test generation tool for combinatorial testing[C]. 见:IEEE 6th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2013. Luxembourg, Luxembourg. March 18, 2013 - March 20, 2013.
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