Combining Syntactic and Semantic Encoding for LTL Bounded Model Checking

Wanwei Liu, Xiaoguang Mao, G. Pu, Rui Wang
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Abstract

Bounded model checking (BMC, for short) is a successful application of SAT technique in model checking. In a broad sense, BMC encoding approaches could be categorised into the syntactic fashion and semantic fashion. In this paper, we present a new BMC encoding approach specially tailored for LTL model checking. The key observation is that syntactic encoding and semantic encoding respectively have the superiority in dealing with "next" operator and "until" operator in the specification. The proposed encoding could be implemented in an "on-the-fly" manner, and finally results in a linear scale blow-up. To justify it, the approach is experimentally evaluated by comparing with some of the best known existing encodings.
结合句法和语义编码的LTL有界模型检验
有界模型检验(Bounded model checking,简称BMC)是SAT技术在模型检验中的成功应用。从广义上讲,BMC编码方法可以分为语法方式和语义方式。在本文中,我们提出了一种专门针对LTL模型检查的新的BMC编码方法。关键观察是句法编码和语义编码分别在规范中处理“next”操作符和“until”操作符方面具有优势。所提出的编码可以以一种“即时”的方式实现,并最终导致线性规模膨胀。为了证明这一点,通过与一些最著名的现有编码进行比较,对该方法进行了实验评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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