LTL Model Checking via Search Space Partition

Fei Pu, Wenhui Zhang
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引用次数: 2

Abstract

The applicability of model checking is often limited by the size of the industrial system. This is known as state space explosion problem. Compositional verification has been particularly successful in this regard. This paper presents an approach based on a refinement of search space partition for reducing the complexity in verification of models with non-deterministic choices and open environment. The refinement depends on the representation of each portion of search space. Especially, search space can be refined stepwise to get better reduction. As reported in the case studies, search space partition improves the efficiency of verification with respect to the requirement of memory and obtains significant advantage over the use of the original one
通过搜索空间分区来检查LTL模型
模型检查的适用性通常受到工业系统规模的限制。这就是所谓的状态空间爆炸问题。成分核查在这方面特别成功。本文提出了一种基于搜索空间划分的改进方法,以降低非确定性选择和开放环境下模型验证的复杂性。细化取决于搜索空间的每个部分的表示。特别是,搜索空间可以逐步细化,得到更好的约简效果。在案例研究中,搜索空间分区提高了对内存需求的验证效率,并且比使用原始空间分区获得了显著的优势
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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