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Generating combinatorial test suite using combinatorial optimization
Zhang, Zhiqiang (1); Yan, Jun (3); Zhao, Yong (5); Zhang, Jian (1); Zhang, Zhiqiang
2014
SourceJournal of Systems and Software
ISSN1641212
Volume98Pages:191-207
English AbstractCombinatorial testing (CT) is an effective technique to test software with multiple configurable parameters. It is used to detect interaction faults caused by the combination effect of parameters. CT test generation aims at generating covering arrays that cover all t-way parameter combinations, where t is a given covering strength. In practical CT usage scenarios, there are usually constraints between parameters, and the performance of existing constraint-handling methods degrades fast when the number of constraints increases. The contributions of this paper are (1) we propose a new one-test-at-a-time algorithm for CT test generation, which uses pseudo-Boolean optimization to generate each new test case; (2) we have found that pursuing the maximum coverage for each test case is uneconomic, and a possible balance point is to keep the approximation ratio in [0.8,0.9]; (3) we propose a new self-adaptive mechanism to stop the optimization process at a proper time when generating each test case; (4) extensive experimental results show that our algorithm works fine on existing benchmarks, and the constraint-handling ability is better than existing approaches when the number of constraints is large; and (5) we propose a method to translate shielding parameters (a common type of constraints) into normal constraints.; Combinatorial testing (CT) is an effective technique to test software with multiple configurable parameters. It is used to detect interaction faults caused by the combination effect of parameters. CT test generation aims at generating covering arrays that cover all t-way parameter combinations, where t is a given covering strength. In practical CT usage scenarios, there are usually constraints between parameters, and the performance of existing constraint-handling methods degrades fast when the number of constraints increases. The contributions of this paper are (1) we propose a new one-test-at-a-time algorithm for CT test generation, which uses pseudo-Boolean optimization to generate each new test case; (2) we have found that pursuing the maximum coverage for each test case is uneconomic, and a possible balance point is to keep the approximation ratio in [0.8,0.9]; (3) we propose a new self-adaptive mechanism to stop the optimization process at a proper time when generating each test case; (4) extensive experimental results show that our algorithm works fine on existing benchmarks, and the constraint-handling ability is better than existing approaches when the number of constraints is large; and (5) we propose a method to translate shielding parameters (a common type of constraints) into normal constraints.
Indexed TypeSCI ; EI
KeywordCombinatorial Testing Test Generation Combinatorial Optimization
Department(1) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China; (2) University of Chinese Academy of Sciences, China; (3) Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, China; (4) State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, China; (5) Department of Computer Science, College of Engineering and Applied Science, University of Colorado at Colorado Springs, United States
Language英语
WOS IDWOS:000344421900012
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16791
Collection中国科学院软件研究所
Corresponding AuthorZhang, Zhiqiang
Recommended Citation
GB/T 7714
Zhang, Zhiqiang ,Yan, Jun ,Zhao, Yong ,et al. Generating combinatorial test suite using combinatorial optimization[J]. Journal of Systems and Software,2014,98:191-207.
APA Zhang, Zhiqiang ,Yan, Jun ,Zhao, Yong ,Zhang, Jian ,&Zhang, Zhiqiang.(2014).Generating combinatorial test suite using combinatorial optimization.Journal of Systems and Software,98,191-207.
MLA Zhang, Zhiqiang ,et al."Generating combinatorial test suite using combinatorial optimization".Journal of Systems and Software 98(2014):191-207.
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