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Symmetry Reduction in SAT-Based Model Checking

机译:基于SAT的模型检查的对称性降低

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The major challenge facing model checking is the state explosion problem. One technique to alleviate this is to apply symmetry reduction; this exploits the fact that many sequential systems consist of interchangeable components, and thus it may suffice to search a reduced version of the symmetric state space. Symmetry reduction has been shown to be an effective technique in both explicit and symbolic model checking with Binary Decision Diagrams (BDDs). In recent years, SAT-based model checking has been shown to be a promising alternative to BDD-based model checking. In this paper, we describe a symmetry reduction algorithm for SAT-based unbounded model checking (UMC) using circuit cofactoring. Our method differs from the previous efforts in using symmetry mainly in that we do not require converting any set of states to its representative or orbit set of states except for the set of initial states. This leads to significant simplicity in the implementation of symmetry reduction in model checking. Experimental results show that using our symmetry reduction approach improves the performance of SAT-based UMC due to both the reduced state space and simplification in the resulting SAT problems.
机译:模型检查的主要挑战是国家爆炸问题。一种缓解这一点的技术是施加对称性的减少;这利用了许多连续系统由可互换组件组成的事实,因此可以足以搜索对称状态空间的缩小版本。已显示对称性降低是具有二进制决策图(BDD)的显式和符号模型检查中的有效技术。近年来,基于SAT的模型检查已被证明是基于BDD的模型检查的有希望的替代品。在本文中,我们使用电路CoFactoration描述了一种基于SAT的无限型模型检查(UMC)的对称算法。我们的方法与以前的使用对称性的努力不同,因为除了该组初始状态之外,我们不要求将任何状态转换为其代表性或轨道集。这导致模型检查的对称性降低的实施中的显着简单。实验结果表明,使用我们的对称性降低方法由于降低的状态空间和所产生的SAT问题中的简化而提高了基于SAT的UMC的性能。

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