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arXiv 2212.04802cs.FLcs.LO
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参数时间自动机的有效凸区合并

Efficient Convex Zone Merging in Parametric Timed Automata

Étienne André, Dylan Marinho, Laure Petrucci, Jaco van de Pol

摘要:

参数时间自动机是一个强大的形式化推理的并发实时系统与未知或不确定的时间常数。减少它们的状态空间是减少固有的大量分析时间的重要方法。我们在这里提出了不同的合并减少技术的基础上凸联盟的约束(参数区),允许减少的状态数,同时保持验证和合成结果的正确性。我们进行了广泛的实验,并确定在实践中最好的算法,带来了显着减少的基准库的计算时间。

英文摘要:

Parametric timed automata are a powerful formalism for reasoning on concurrent real-time systems with unknown or uncertain timing constants. Reducing their state space is a significant way to reduce the inherently large analysis times. We present here different merging reduction techniques based on convex union of constraints (parametric zones), allowing to decrease the number of states while preserving the correctness of verification and synthesis results. We perform extensive experiments, and identify the best heuristics in practice, bringing a significant decrease in the computation time on a benchmarks library.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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