基于场景的upal实时系统分析与综合

K. Larsen, Shuhao Li, B. Nielsen, Saulius Pusinskas
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引用次数: 13

摘要

我们提出了一种自动化的、工具支持的方法,用于实时嵌入式系统的基于场景的分析和综合。系统的对象间行为被建模为一组活动序列图(LSC),基于场景的用户需求被指定为单独的LSC。通过将LSC图集转化为时间自动机(TA)的行为等效网络,我们将模型一致性检查和属性验证问题简化为经典的CTL实时模型检查问题,并将开放系统的集中综合问题简化为时间博弈求解问题。我们实现了一个原型LSC-to-TA转换器,它可以连接到现有的实时模型检查器UPPAAL和定时游戏求解器UPPAAL- tiga。若干实例的初步实验表明,该方法是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scenario-based analysis and synthesis of real-time systems using uppaal
We propose an automated, tool-supported approach to scenario-based analysis and synthesis of real-time embedded systems. The inter-object behaviors of a system are modeled as a set of live sequence charts (LSCs), and the scenario-based user requirement is specified as a separate LSC. By translating the set of LSC charts into a behavior-equivalent network of timed automata (TA), we reduce the problems of model consistency checking and property verification to classical CTL real-time model checking problems, and reduce the problem of centralized synthesis for open systems to a timed game solving problem. We implement a prototype LSC-to-TA translator, which can be linked to existing real-time model checker UPPAAL and timed game solver UPPAAL-TIGA. Preliminary experiments on a number of examples show that it is a viable approach.
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