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International Conference on Tools and Algorithms for the Construction and Analysis of Systems

TACAS 2021: Tools and Algorithms for the Construction and Analysis of Systems pp 3–19Cite as

A Game for Linear-time–Branching-time Spectroscopy

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 12651)

Abstract

We introduce a generalization of the bisimulation game that can be employed to find all relevant distinguishing Hennessy–Milner logic formulas for two compared finite-state processes. By measuring the use of expressive powers, we adapt the formula generation to just yield formulas belonging to the coarsest distinguishing behavioral preorders/equivalences from the linear-time–branching-time spectrum. The induced algorithm can determine the best fit of (in)equivalences for a pair of processes.

Keywords

  • Process equivalence spectrum
  • Distinguishing formulas
  • Bisimulation games

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Data availability

The source code git repository of our implementation can be accessed via https://concurrency-theory.org/ltbt-spectroscope/code/. Code to reproduce the results presented in this paper is available on Zenodo [1].

References

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Acknowledgments

We are thankful to members of our research group (especially Kim Völlinger), participants of our course Modelle Dynamischer Systeme, and the anonymous reviewers for lots of helpful comments.

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Authors and Affiliations

  1. Technische Universität Berlin, Berlin, Germany

    Benjamin Bisping & Uwe Nestmann

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  1. Benjamin Bisping
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  2. Uwe Nestmann
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Correspondence to Benjamin Bisping .

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Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Prof. Jan Friso Groote

  2. Aalborg University, Aalborg East, Denmark

    Prof. Kim Guldstrand Larsen

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Bisping, B., Nestmann, U. (2021). A Game for Linear-time–Branching-time Spectroscopy. In: Groote, J.F., Larsen, K.G. (eds) Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2021. Lecture Notes in Computer Science(), vol 12651. Springer, Cham. https://doi.org/10.1007/978-3-030-72016-2_1

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  • DOI: https://doi.org/10.1007/978-3-030-72016-2_1

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