定时Kripke结构的参数综合

M. Knapik, W. Penczek
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引用次数: 3

摘要

我们展示了如何合成参数值,在这些参数值下,在参数定时Kripke结构中,用CTL的一定扩展表示的给定属性(称为RTCTLP)保持不变。通过将参数赋值的无限空间限制在其有限子集内,并采用一种蛮力算法,证明了RTCTLP参数综合的可判定性。因此,我们提出了一种用于RTCTLP参数综合的符号算法。与不动点符号模型检验方法类似,我们引入了使解稳定的特殊算子。稳定过程本质上是从RTCTLP参数综合问题到离散优化任务的转化。结果表明,该方法是完善的,并提供了一些复杂的结果。我们认为这种方法为模型检查带来了新的机会,包括整数规划和相关工具的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameter Synthesis for Timed Kripke Structures
We show how to synthesise parameter values under which a given property, expressed in a certain extension of CTL, called RTCTLP, holds in a parametric timed Kripke structure. We prove the decidability of parameter synthesis for RTCTLP by showing how to restrict the infinite space of parameter valuations to its finite subset and employ a brute-force algorithm. The brute-force approach soon becomes intractable, therefore we propose a symbolic algorithm for RTCTLP parameter synthesis. Similarly to the fixed-point symbolic model checking approach, we introduce special operators which stabilise on the solution. The process of stabilisation is essentially a translation from the RTCTLP parameter synthesis problem to a discrete optimization task. We show that the proposed method is sound and complete and provide some complexity results. We argue that this approach leads to new opportunities in model checking, including the use of integer programming and related tools.
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