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Towards Concolic Testing for Hybrid Systems
Kong, Pingfan ; Li, Yi ; Chen, Xiaohong ; Sun, Jun ; Sun, Meng ; Wang, Jingyi
2016
关键词MODEL-CHECKING AUTOMATA SOLVER
英文摘要Hybrid systems exhibit both continuous and discrete behavior. Analyzing hybrid systems is known to be hard. Inspired by the idea of concolic testing (of programs), we investigate whether we can combine random sampling and symbolic execution in order to effectively verify hybrid systems. We identify a sufficient condition under which such a combination is more effective than random sampling. Furthermore, we analyze different strategies of combining random sampling and symbolic execution and propose an algorithm which allows us to dynamically switch between them so as to reduce the overall cost. Our method has been implemented as a web-based checker named HYCHECKER. HYCHECKER has been evaluated with benchmark hybrid systems and a water treatment system in order to test its effectiveness.; CPCI-S(ISTP); pingfan_kong@sutd.edu.sg; sunjun@sutd.edu.sg; 460-478; 9995
语种英语
出处SCI
出版者21st International Symposium on Formal Methods (FM)
内容类型其他
源URL[http://hdl.handle.net/20.500.11897/460005]  
专题数学科学学院
推荐引用方式
GB/T 7714
Kong, Pingfan,Li, Yi,Chen, Xiaohong,et al. Towards Concolic Testing for Hybrid Systems. 2016-01-01.
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