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Trace semantics and refinement patterns for real-time properties in event-B models

机译:在Event-B模型中进行实时属性的跟踪语义和改进模式

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Event-B is a formal method that utilizes a stepwise development approach for system-level modeling and analysis. We are interested in reasoning about real-time deadlines and delays between trigger and response events. There is existing work on treating these properties in Event-B but it lacks a semantic treatment in terms of trace behaviors. Because timing properties require fairness assumptions, we use infinite traces and develop conditions under which all infinite traces of a machine satisfy trigger-response and timing properties. We present refinement semantics of models whose behavior traces are infinite. In addition, we generalize our previous work by allowing a relation between concrete states and abstract states to simulate infinite state traces. Forward simulation, which is a proof technique for refinement, has been used to verify the consistency between different refinement levels regarding finite traces. Based on forward simulation, fairness assumptions, relative deadlock freedom, and conditional convergence are adopted as additional conditions that guarantee infinite trace refinement of timed models. The bounded retransmission protocol is used to illustrate the required proof obligations for timed traces.
机译:Event-B是一种正式方法,用于系统级建模和分析的逐步开发方法。我们对触发和响应事件之间的实时截止日期和延迟感兴趣。在事件-B中有现有的处理这些属性,但在跟踪行为方面缺乏语义治疗。因为时序属性需要公平假设,所以我们使用无限迹线和开发机器的所有无限迹线满足触发响应和时序属性的条件。我们呈现出行为迹线是无限的模型的精致语义。此外,我们通过允许具体状态与抽象状态之间的关系来概括我们以前的工作来模拟无限状态迹线。前进仿真,这是一种用于改进的证明技术,用于验证关于有限迹线的不同细化水平之间的一致性。基于前向模拟,公平假设,相对死锁自由和条件收敛作为额外条件,保证定时模型无限痕量细化。界限重传协议用于说明定时迹线的所需证明义务。

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