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The Inconsistent Labelling Problem of Stutter-Preserving Partial-Order Reduction

机译:保留口吃的部分订单减少的不一致标签问题

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In model checking, partial-order reduction (POR) is an effective technique to reduce the size of the state space. Stubborn sets are an established variant of POR and have seen many applications over the past 31 years. One of the early works on stubborn sets shows that a combination of several conditions on the reduction is sufficient to preserve stutter-trace equivalence, making stubborn sets suitable for model checking of linear-time properties. In this paper, we identify a flaw in the reasoning and show with a counter-example that stutter-trace equivalence is not necessarily preserved. We propose a solution together with an updated correctness proof. Furthermore, we analyse in which formalisms this problem may occur. The impact on practical implementations is limited, since they all compute a correct approximation of the theory.
机译:在模型检查中,偏序缩减(POR)是减少状态空间大小的有效技术。顽固集是POR的既定变体,在过去31年中已经看到了许多应用。关于顽固集的早期工作之一表明,归约化的几种条件的组合足以保留口吃-痕迹当量,这使得顽固集适合用于线性时间属性的模型检查。在本文中,我们确定了推理中的缺陷,并通过反例说明了不一定保留口吃痕迹等效性。我们提出了解决方案以及更新的正确性证明。此外,我们分析了该问题可能出现在哪些形式主义上。由于它们都计算出理论的正确近似值,因此对实际实施的影响是有限的。

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