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International Conference on Applications and Theory of Petri Nets and Concurrency

PETRI NETS 2013: Application and Theory of Petri Nets and Concurrency pp 389–399Cite as

MARCIE – Model Checking and Reachability Analysis Done Efficiently

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7927)

Abstract

MARCIE is a tool for the analysis of generalized stochastic Petri nets which can be augmented by rewards. The supported analysis methods range from qualitative and quantitative standard properties to model checking of established temporal logics. MARCIE’s analysis engines for bounded Petri net models are based on Interval Decision Diagrams. They are complemented by simulative and approximative engines to allow for quantitative reasoning on unbounded models. Most of the quantitative analyses benefit from a multi-threaded implementation. This paper gives an overview on MARCIE’s functionality and architecture and reports on the recently added feature of CSRL and PLTLc model checking.

Keywords

  • generalized stochastic Petri nets
  • model checking
  • simulation

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  • DOI: 10.1007/978-3-642-38697-8_21
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Author information

Authors and Affiliations

  1. Computer Science Institute, Brandenburg University of Technology Cottbus, Postbox 10 13 44, 03013, Cottbus, Germany

    Monika Heiner, Christian Rohr & Martin Schwarick

Authors
  1. Monika Heiner
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  2. Christian Rohr
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  3. Martin Schwarick
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Editor information

Editors and Affiliations

  1. Departamento de Informática e Ingeniería de Sistemas, Universidad de Zaragoza, María de Luna, 1, 50018, Zaragoza, Spain

    José-Manuel Colom

  2. Fernuniversität Hagen, IZ, Universitätsstraße 1, 58097, Hagen, Germany

    Jörg Desel

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Heiner, M., Rohr, C., Schwarick, M. (2013). MARCIE – Model Checking and Reachability Analysis Done Efficiently. In: Colom, JM., Desel, J. (eds) Application and Theory of Petri Nets and Concurrency. PETRI NETS 2013. Lecture Notes in Computer Science, vol 7927. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38697-8_21

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  • DOI: https://doi.org/10.1007/978-3-642-38697-8_21

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