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Widening Polyhedra with Landmarks

机译:扩展带有地标的多面体

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摘要

The abstract domain of polyhedra is sufficiently expressive to be deployed in verification. One consequence of the richness of this domain is that long, possibly infinite, sequences of polyhedra can arise in the analysis of loops. Widening and narrowing have been proposed to infer a single polyhedron that summarises such a sequence of polyhedra. Motivated by precision losses encountered in verification, we explain how the classic wideningarrowing approach can be refined by an improved extrapolation strategy. The insight is to record inequalities that are thus far found to be unsatisfiable in the analysis of a loop. These so-called landmarks hint at the amount of widening necessary to reach stability. This extrapolation strategy, which refines widening with thresholds, can infer post-fixpoints that are precise enough not to require narrowing. Unlike previous techniques, our approach interacts well with other domains, is fully automatic, conceptually simple and precise on complex loops.
机译:多面体的抽象域具有足够的表现力,可以部署在验证中。该域丰富的一个结果是,在循环分析中可能会出现多面体的长序列,可能是无限的。已经提出加宽和缩小来推断出概括了这种多面体序列的单个多面体。出于验证中遇到的精度损失的原因,我们解释了如何通过改进的外推策略来改进经典的加宽/缩小方法。洞察力是记录迄今发现在回路分析中无法满足的不平等。这些所谓的界标暗示了达到稳定所必需的加宽幅度。这种外推策略可通过阈值优化加宽,可以推断出后固定点,其精确度足以无需缩小。与以前的技术不同,我们的方法可以与其他领域很好地交互,是全自动的,在复杂循环上从概念上讲是简单且精确的。

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