Samenvatting
One of the biggest challenges in model checking complex systems is the state space explosion problem. A well known technique to reduce the impact of this problem is compositional minimisation. In this technique, first the state spaces of all components are computed and minimised modulo some behavioural equivalence (e.g., some form of bisimilarity). These minimised transition systems are subsequently combined to obtain the final state space. In earlier work a compositional minimisation technique was presented tailored to mCRL2: it provides support for the multi-action semantics of mCRL2 and allows splitting up a monolithic linear process specification into components. Only strong bisimulation minimisation of components can be used, limiting the effectiveness of the approach. In this paper we propose an extension to support branching bisimulation reduction and prove its correctness. We present a number of benchmarks using mCRL2 models derived from industrial SysML models, showing that a significant reduction can be achieved, also compared to compositional minimisation with strong bisimulation reduction.
Originele taal-2 | Engels |
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Titel | Formal Aspects of Component Software - 18th International Conference, FACS 2022, Proceedings |
Redacteuren | Silvia Lizeth Tapia Tarifa, José Proença |
Uitgeverij | Springer |
Pagina's | 161-182 |
Aantal pagina's | 22 |
ISBN van geprinte versie | 9783031208713 |
DOI's | |
Status | Gepubliceerd - 2022 |
Evenement | 18th International Conference on Formal Aspects of Component Software, FACS 2022 - Virtual, Online Duur: 10 nov. 2022 → 11 nov. 2022 |
Publicatie series
Naam | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13712 LNCS |
ISSN van geprinte versie | 0302-9743 |
ISSN van elektronische versie | 1611-3349 |
Congres
Congres | 18th International Conference on Formal Aspects of Component Software, FACS 2022 |
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Stad | Virtual, Online |
Periode | 10/11/22 → 11/11/22 |
Bibliografische nota
Funding Information:The first author received funding for his research from ProRail and DB Netz AG. The vision presented in this article does not necessarily reflect the strategy of DB Netz AG or ProRail, but reflects the personal views of the authors.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.