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| an efficient lazy smt solver for nonlinear numerical constraints | |
| Ji Xiaohui; Ma Feifei | |
| 2012 | |
| Conference Name | 21st IEEE International WETICE Conference, WETICE 2012 |
| Source | Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WET ICE |
| Pages | 324-329 |
| Conference Date | June 25, 2012 - June 27, 2012 |
| Conference Place | Toulouse, France |
| Indexed Type | EI |
| ISSN | 1524-4547 |
| ISBN | 9780769547176 |
| Department | (1) School of Information Engineering China University of Geosciences Beijing China; (2) Research and Development Center for Parallel Software Institute of Software Chinese Academy of Sciences Beijing China |
| English Abstract | Verification and testing for cyber-physical system may involve constraints that have both Boolean and nonlinear numerical expressions. Such constraints are undecidable, so efficiently giving out a solution whose error is within a given bound when the constraints are satisfiable or the answer that there are some contradicts in the constraints when the constraints are unsatisfiable is important. This paper presents an efficient method to solve Boolean combinations of nonlinear numerical constraints. Under the lazy SMT framework, this method combines an iterative optimization method and interval analysis together to solve numerical constraints. A prototype tool is implemented and some experiments were made. The experimental results show that our method is efficient and can solve many problems that other tools cannot. © 2012 IEEE.; Verification and testing for cyber-physical system may involve constraints that have both Boolean and nonlinear numerical expressions. Such constraints are undecidable, so efficiently giving out a solution whose error is within a given bound when the constraints are satisfiable or the answer that there are some contradicts in the constraints when the constraints are unsatisfiable is important. This paper presents an efficient method to solve Boolean combinations of nonlinear numerical constraints. Under the lazy SMT framework, this method combines an iterative optimization method and interval analysis together to solve numerical constraints. A prototype tool is implemented and some experiments were made. The experimental results show that our method is efficient and can solve many problems that other tools cannot. © 2012 IEEE. |
| Keyword | Embedded Systems Iterative Methods Surface Mount Technology |
| Sponsorship | Tech. Counc. Softw. Eng. IEEE Comput. Soc. (TCSE); CERC-West Virginia University; LAAS-CNRS; ISAE |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15799 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Ji Xiaohui,Ma Feifei. an efficient lazy smt solver for nonlinear numerical constraints[C],2012:324-329. |
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