A New Approach of Partial Order Reduction Technique for Parallel Timed Automata Model Checking

Xiaoyu Zhou, Qian Li, Jianhua Zhao
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Abstract

A new partial order reduction method for timed automaton model checking is presented in this paper. This method avoids exhaustive state-space exploration by enumerating only part of enabled transitions at some symbolic states. This paper gives some sufficient conditions on which partial enumeration does not change the reach ability analysis result. Efficient algorithms are presented to check these conditions. The optimized reach ability analysis algorithm only computes successors w.r.t. part of enabled transitions when it visits a symbolic state the first time. Later, the algorithm revisits generated states to check whether it is necessary to enumerate all transitions. Some experiments shows that the method significantly reduce the number of symbolic states generated during state space exploration.
并行时间自动机模型检验的偏阶约简方法
提出了一种新的时间自动机模型检验的偏阶降阶方法。此方法通过仅枚举某些符号状态下启用的部分转换,避免了详尽的状态空间探索。给出了部分枚举不改变可及性分析结果的几个充分条件。提出了有效的算法来检查这些条件。优化后的可达性分析算法仅在第一次访问符号状态时计算已启用转换部分的后继者。随后,算法重新访问生成的状态,以检查是否有必要枚举所有转换。实验表明,该方法显著减少了状态空间探索过程中产生的符号状态数。
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