Towards Concolic Testing for Hybrid Systems
Abstract
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.
Cite
@article{arxiv.1608.08754,
title = {Towards Concolic Testing for Hybrid Systems},
author = {Pingfan Kong and Yi Li and Xiaohong Chen and Jun Sun and Meng Sun and Jingyi Wang},
journal= {arXiv preprint arXiv:1608.08754},
year = {2016}
}
Comments
Full paper accepted by Formal Methods Europe 2016 containing appendix