Much compact Time Petri Net state class spaces useful to restore CTL* properties

Rachid Hadjidj, H. Boucheneb
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引用次数: 7

Abstract

This paper deals with the verification of CTL* properties of Time Petri Nets (TPN model). To verify such properties, we need to contract the generally infinite state space of the TPN model into a finite graph that preserves its CTL* properties. Such a graph can be constructed using a partition refinement technique, where an intermediate graph, representing a contraction of the TPN state space, is first built then refined until CTL* properties are restored. Comparing to other approaches, we propose to construct much compact intermediate graphs. Experimental results have shown that our contractions are very appropriate to boost the refinement procedure. We have been able to reduce computation times by factors reaching four and more in certain cases. Resulting graphs have also been reduced in size.
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非常紧凑的时间Petri网状态类空间有助于恢复CTL*属性
本文讨论了时间Petri网(TPN)模型的CTL*性质的验证。为了验证这些性质,我们需要将TPN模型的一般无限状态空间压缩成一个保留其CTL*性质的有限图。这样的图可以使用分区细化技术来构建,其中首先构建一个中间图,表示TPN状态空间的收缩,然后进行细化,直到CTL*属性恢复。与其他方法相比,我们提出构造更加紧凑的中间图。实验结果表明,我们的收缩是非常合适的,以提高精化过程。在某些情况下,我们已经能够通过达到四倍甚至更多的因子来减少计算时间。生成的图形的大小也减小了。
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