发现状态机图中不确定性的全自动方法

O. Adesina, T. Lethbridge, S. Somé
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引用次数: 7

摘要

我们提出了一种完全自动化的技术来检测状态图中的不确定性。尽管不确定性是需求工程师经常采用的一种工具,用于开发中的系统(SUD)的规格说明,但在实际实现中通常不希望使用它。手工发现不确定性对于工业规模的系统是不可行的。文献中的解决方案缺乏分析无限状态系统的能力。我们利用nuXmv模型检查器来分析无界域,并实现一种算法,该算法系统地计算SUD的最小可比较转换集,同时通过模型检查消除误报。为了验证我们的方法,我们分析了一个真实世界的系统,并报告了发现的不确定性案例。我们使用了Umple的功能来将状态机转换为nuXmv。
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A Fully Automated Approach to Discovering Nondeterminism in State Machine Diagrams
We present a fully automated technique to detect nondeterminism in state diagrams. Although nondeterminism is a tool often adopted by requirement engineers for specification of a system under development (SUD), it is normally undesirable in actual implementation. Discovering nondeterminism manually is infeasible for industrial-sized systems. Solutions in the literature lack the capability to analyze infinite-state systems. We leverage the nuXmv model checker to analyze unbounded domains and implement an algorithm that systematically computes a minimal set of comparable transitions for the SUD yet eliminates false positives by model checking. To validate our approach, we analyze a real-world system and report discovered cases of nondeterminism. We employ Umple’s capability to convert state machines to nuXmv.
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