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Polyhedron over-approximation for complexity reduction in static analysis

机译:多面体过逼近可降低静态分析的复杂性

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摘要

Polyhedra are widely used in the verification of numerical programs. Specially, in the field of static analysis by abstract interpretation to express the program invariants. Polyhedra make the analysis very expressive but also very time consuming. That cost is mostly due to the minimization function, which is used to maintain polyhedra in their minimal representation without redundant constraints or generators. In this article, we propose method to over-approximate a polyhedron by minimizing the loss of accuracy. The idea is to find a good trade off between accuracy and execution time. The proposed method is applied as an alternative to the minimization function for the template polyhedra abstract domain.
机译:多面体被广泛用于数值程序的验证中。特别是在静态分析领域中,通过抽象解释来表示程序不变式。多面体使分析非常富有表现力,但也很耗时。该成本主要归因于最小化功能,该功能用于将多面体保持为最小表示而没有多余的约束或生成器。在本文中,我们提出了一种通过最小化精度损失来过度逼近多面体的方法。这个想法是要在准确性和执行时间之间找到一个良好的平衡。所提出的方法可替代模板多面体抽象域的最小化函数。

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