Efficient Instantiation of Parameterised Boolean Equation Systems to Parity Games

G. Kant, J. Pol
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引用次数: 15

Abstract

Parameterised Boolean Equation Systems (PBESs) are sequences of Boolean fixed point equations with data variables, used for, e.g., verification of modal mu-calculus formulae for process algebraic specifications with data. Solving a PBES is usually done by instantiation to a Parity Game and then solving the game. Practical game solvers exist, but the instantiation step is the bottleneck. We enhance the instantiation in two steps. First, we transform the PBES to a Parameterised Parity Game (PPG), a PBES with each equation either conjunctive or disjunctive. Then we use LTSmin, that offers transition caching, efficient storage of states and both distributed and symbolic state space generation, for generating the game graph. To that end we define a language module for LTSmin, consisting of an encoding of variables with parameters into state vectors, a grouped transition relation and a dependency matrix to indicate the dependencies between parts of the state vector and transition groups. Benchmarks on some large case studies, show that the method speeds up the instantiation significantly and decreases memory usage drastically.
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参数化布尔方程组对奇偶对策的有效实例化
参数化布尔方程系统(pess)是具有数据变量的布尔不动点方程序列,用于验证具有数据的过程代数规范的模态模微积分公式。解决PBES通常是通过实例化奇偶校验游戏,然后解决游戏来完成的。实际的游戏解决方案是存在的,但实例化步骤是瓶颈。我们分两步增强实例化。首先,我们将PBES转换为一个参数化奇偶对策(PPG),一个每个方程都是合取或析取的PBES。然后我们使用LTSmin,它提供了转换缓存,有效的状态存储以及分布式和符号状态空间生成,用于生成游戏图。为此,我们为LTSmin定义了一个语言模块,该模块由带参数的变量编码到状态向量、分组转换关系和依赖矩阵组成,以指示状态向量和转换组部分之间的依赖关系。一些大型案例研究的基准测试表明,该方法显著加快了实例化速度,并大幅降低了内存使用。
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