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An Abstraction Refinement Technique for Timed Automata Based on Counterexample-Guided Abstraction Refinement Loop

机译:基于反例指导的抽象细化循环的定时自动机抽象细化技术

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Model checking techniques are useful for design of high-reliable information systems. The well-known problem of state explosion, however, might occur in model checking of large systems. Such explosion severely limits the scalability of model checking. In order to avoid it, several abstraction techniques have been proposed. Some of them are based on CounterExample-Guided ion Refinement (CEGAR) loop technique proposed by E. Clarke et al. . This paper proposes a concrete abstraction technique for timed automata used in model checking of real time systems. Our technique is based on CEGAR, in which we use a counter example as a guide to refine the abstract model. Although, in general, the refinement operation is applied to abstract models, our method modifies the original timed automaton. Next, we generate refined abstract models from the modified automaton. This paper describes formal descriptions of the algorithm and the correctness proof of the algorithm.
机译:模型检查技术对于设计高度可靠的信息系统很有用。但是,众所周知的状态爆炸问题可能发生在大型系统的模型检查中。这种爆炸严重限制了模型检查的可伸缩性。为了避免这种情况,已经提出了几种抽象技术。其中一些基于E. Clarke等人提出的CounterExample-Guide离子精制(CEGAR)循环技术。 。本文提出了一种用于实时系统模型检查的定时自动机的具体抽象技术。我们的技术基于CEGAR,其中我们以反例为指导来完善抽象模型。尽管通常将提炼操作应用于抽象模型,但我们的方法会修改原始的定时自动机。接下来,我们从修改后的自动机生成精炼的抽象模型。本文描述了该算法的形式描述和算法的正确性证明。

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