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Making Abstraction-Refinement Efficient in Model Checking

机译:在模型检查中进行抽象精细化效率

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Abstraction is one of the most important strategies for dealing with the state space explosion problem in model checking. In the abstract model, the state space is largely reduced, however, a counterexample found in such a model may not be a real counterexample. Accordingly, the abstract model needs to be further refined where an NP-hard state separation problem is often involved. In this paper, a novel method is presented, in which extra variables are added to the abstract model for the refinement. With this method, not only the NP-hard state separation problem can be avoided, but also a smaller refined abstract model can be obtained.
机译:抽象是在模型检查中处理国家空间爆炸问题的最重要策略之一。在抽象模型中,状态空间在很大程度上减少,但是,在这种模型中发现的反例可能不是真正的反例。因此,需要进一步改进抽象模型,其中经常涉及NP硬状态分离问题。在本文中,提出了一种新方法,其中额外变量被添加到改进的抽象模型中。利用这种方法,不仅可以避免NP - 硬状态分离问题,而且还可以获得更小的精细抽象模型。

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