The GreatSPN tool: recent enhancements
ACM SIGMETRICS Performance Evaluation Review
From partially to fully lumped Markov chains in stochastic well formed Petri nets
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Efficient state-based analysis by introducing bags in Petri nets color domains
ACC'09 Proceedings of the 2009 conference on American Control Conference
Symbolic partition refinement with automatic balancing of time and space
Performance Evaluation
Lumping partially symmetrical stochastic models
Performance Evaluation
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Well-formed Nets (WNs) have proved an efficient model for building quotient reachability graphs that can be used either for qualitative or performance analysis. However, local asymmetries often break any possibility of grouping states into classes, thus drastically reducing the interest of the approach. An efficient solution has been proposed for qualitative analysis, which relies on a separate representation of the asymmetries in a so-called control automaton. The quotient graph is then obtained by synchronizing the transitions of the WN model with the transitions of the control automaton. In this paper, we improve this approach to quantitative analysis. We show that it can be used to build an aggregated graph that is isomorphic to a Markov chain which verifies exact lumpability. Theoretical considerations and practical experiments show that our method outperforms previous approaches.