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CTL model checking for time Petri nets
This paper aims at applying the CTL * 1 1 Computation Tree Logic. model checking method to the time Petri net (TPN) model. We show here how to contract its generally infinite state space into a graph that captures all its CTL * properties. This graph, called atomic state class graph (ASCG), is finit...
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Published in: | Theoretical computer science 2006-03, Vol.353 (1), p.208-227 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper aims at applying the
CTL
*
1
1
Computation Tree Logic.
model checking method to the time Petri net (TPN) model. We show here how to contract its generally infinite state space into a graph that captures all its
CTL
*
properties. This graph, called atomic state class graph (ASCG), is finite if and only if, the model is bounded.
2
2
The number of its reachable markings is finite.
Our approach is based on a partition refinement technique, similarly to what is proposed in [Berthomieu, Vernadat, State class constructions for branching analysis of time Petri nets, Lecture Notes in Computer Science, vol. 2619, 2003; Yoneda, Ryuba, CTL model checking of time Petri nets using geometric regions, IEICE Trans. Inf. Syst. E99-D(3) (1998)]. In such a technique, an intermediate abstraction (contraction) of the TPN state space is first built, then refined until
CTL
*
properties are restored. Our approach improves the construction of the ASCG in two ways. The first way deals with speeding up the refinement process by using a much more compact intermediate contraction of the TPN state space than those used in [Berthomieu, Vernadat, State class constructions for branching analysis of time Petri nets, Lecture Notes in Computer Science, vol. 2619, 2003; Yoneda, Ryuba, CTL model checking of time Petri nets using geometric regions, IEICE Trans. Inf. Syst. E99-D(3) (1998)]. The second way deals with computing each ASCG node in
O
(
n
2
)
instead of
O
(
n
3
)
,
n
being the number of transitions enabled at the node. Experimental results have shown that our improvements have a good impact on performances. |
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ISSN: | 0304-3975 1879-2294 |
DOI: | 10.1016/j.tcs.2005.11.002 |