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Counterexample-guided abstraction refinement for the analysis of graph transformation systems

机译:用于分析图形转换系统的反例引导抽象细化

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摘要

Graph transformation systems are a general specification language for systems with dynamically changing topologies, such as mobile and distributed systems. Although in the last few years several analysis and verification methods have been proposed for graph transformation systems, counterexample-guided abstraction refinement has not yet been studied in this setting.We propose a counterexample-guided abstraction refinement technique which is based on the over-approximation of graph transformation systems by Petri nets. We show that a spurious counterexample is caused by merging nodes during the approximation. We present a technique for identifying these merged nodes and splitting them using abstraction refinement, which removes the spurious run. The technique has been implemented in the Augur tool and experimental results are discussed.
机译:图形转换系统是用于具有动态变化拓扑的系统(例如移动和分布式系统)的通用规范语言。尽管最近几年已经提出了几种针对图变换系统的分析和验证方法,但在这种情况下尚未研究以反例为指导的抽象细化。我们提出了一种基于反近似的以反例为指导的抽象细化技术Petri网的图形转换系统我们显示了一个虚假的反例是由于在逼近过程中合并节点引起的。我们提出了一种技术,用于识别这些合并的节点并使用抽象细化对它们进行拆分,从而消除了虚假运行。该技术已在Augur工具中实现,并讨论了实验结果。

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