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Test program generation based on multi-objective evolutionary algorithm
Zhang, Liang ; Tong, Dong ; Lin, Hua ; Cheng, Xu ; Wang, Keyi
刊名jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics
2010
DOI10.3724/SP.J.1089.2010.10996
英文摘要Existing test program evolution method uses single coverage metric to evaluate test programs in evolution process, and it can not guarantee the execution time index of the optimal solution. To cope with the problem, this paper proposes a test program generation approach based on multi-objective evolutionary algorithm (MOEA). It considers test program generation as a multi-objective optimization problem and both increasing coverage and reducing execution time are optimization goals. Through analyzing the feedback information from the simulator and using MOEA technology, it can automatically guide the direction of the new test generation. Experimental results on PKUnity UniCore32-2 microprocessor demonstrated that the optimal test program generated by the proposed method guaranteed the coverage requirements, was 12.92% of the traditional test program evolution method and 3.62% of hand-written test program set in execution time.; EI; 0; 8; 1382-1389; 22
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/412764]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Zhang, Liang,Tong, Dong,Lin, Hua,et al. Test program generation based on multi-objective evolutionary algorithm[J]. jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics,2010.
APA Zhang, Liang,Tong, Dong,Lin, Hua,Cheng, Xu,&Wang, Keyi.(2010).Test program generation based on multi-objective evolutionary algorithm.jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics.
MLA Zhang, Liang,et al."Test program generation based on multi-objective evolutionary algorithm".jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics (2010).
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