反例指导下的模型检验模论预测

Makai Mann, A. Irfan, A. Griggio, O. Padon, Clark W. Barrett
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引用次数: 7

摘要

我们开发了一个框架,通过自动增加辅助变量来检查无限状态系统的模型,从而为需要量化不变量的系统提供无量词的归纳证明。我们将这种机制与反例引导的数组理论抽象细化方案结合起来。因此,在许多情况下,我们的框架可以将带有量词和数组的归纳推理简化为无量词和无数组推理。我们根据文献中的一系列基准来评估该方法。结果表明,我们的实现通常优于最先进的工具,展示了其实际潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Counterexample-Guided Prophecy for Model Checking Modulo the Theory of Arrays
We develop a framework for model checking infinite-state systems by automatically augmenting them with auxiliary variables, enabling quantifier-free induction proofs for systems that would otherwise require quantified invariants. We combine this mechanism with a counterexample-guided abstraction refinement scheme for the theory of arrays. Our framework can thus, in many cases, reduce inductive reasoning with quantifiers and arrays to quantifier-free and array-free reasoning. We evaluate the approach on a wide set of benchmarks from the literature. The results show that our implementation often outperforms state-of-the-art tools, demonstrating its practical potential.
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