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引用次数: 15

摘要

我们提出了一个新的工具来验证模态模微积分公式的工艺规范,基于符号奇偶对策。它改进了现有的方法,首先将问题编码为参数化布尔方程系统(PBES),然后将PBES实例化为奇偶博弈。我们改进了从规范到PBES的转换,以保持PBES中规范的结构,我们扩展了LTSmin以实例化pess到符号奇偶博弈,并实现了Zielonka用于符号奇偶博弈的递归奇偶博弈求解算法。我们使用多值决策图(mdd)来表示集合和关系,从而使工具能够处理非常大的系统。转换关系是基于规范的结构进行划分的,这允许对mdd进行有效的操作。我们对模块化规范进行了两个案例研究,结果表明,新方法比现有的基于PBES的工具具有更好的时间和内存性能,并且比符号模型检查器NuSMV更快(但内存效率略低)。
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Generating and Solving Symbolic Parity Games
We present a new tool for verification of modal mu-calculus formulae for process specifications, based on symbolic parity games. It enhances an existing method, that first encodes the problem to a Parameterised Boolean Equation System (PBES) and then instantiates the PBES to a parity game. We improved the translation from specification to PBES to preserve the structure of the specification in the PBES, we extended LTSmin to instantiate PBESs to symbolic parity games, and implemented the recursive parity game solving algorithm by Zielonka for symbolic parity games. We use Multi-valued Decision Diagrams (MDDs) to represent sets and relations, thus enabling the tools to deal with very large systems. The transition relation is partitioned based on the structure of the specification, which allows for efficient manipulation of the MDDs. We performed two case studies on modular specifications, that demonstrate that the new method has better time and memory performance than existing PBES based tools and can be faster (but slightly less memory efficient) than the symbolic model checker NuSMV.
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