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International Workshop on Formal Techniques for Safety-Critical Systems

FTSCS 2016: Formal Techniques for Safety-Critical Systems pp 129–144Cite as

Applying Parametric Model-Checking Techniques for Reusing Real-Time Critical Systems

Part of the Communications in Computer and Information Science book series (CCIS,volume 694)

Abstract

Due to the increase of complexity in real-time safety-critical systems, verification and validation costs have significantly increased. A straightforward way to reduce costs is to reuse existing systems, adapting them to new requirements, so as to avoid new costly developments. Our aim is to verify during the development strategy definition phase whether the existing products can be reused and adapted for a new customer, by identifying key parameters to be tuned in order to reuse existing products. Performing efficient verification is therefore crucial.

In this paper, we focus on the performance requirement aspects. Nowadays, model-checking techniques have improved significantly to verify the performances of real-time systems. However, model-checking cannot address real-time systems where some timing constants are unknown or uncertain. Parametric model-checking leverage this shortcoming by identifying parameter ranges for which the system is correct. We report here on an experiment of the evaluation of the use of these formal techniques applied to automatize the synthesis of good parameter ranges for system reuse in the setting of the environment requirements for an aerial video tracking system.

Keywords

  • Real-time systems
  • Safety-critical systems
  • Formal methods
  • Parametric verification
  • Performance verification
  • Case study
  • Avionics

This work is partially supported by the ANR national research program ANR-14-CE28-0002 PACS (“Parametric Analyses of Concurrent Systems”).

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Notes

  1. 1.

    http://romeo.rts-software.org.

  2. 2.

    http://www.imitator.fr.

  3. 3.

    The use of timed (resp. discrete) inhibitor arc (red arc) leads to the modeling of preemptive (resp. non-preemptive) scheduling.

  4. 4.

    Observers (also called testing automata) were studied in [1, 2], and a library of common observers was proposed in [4].

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Acknowledgment

The authors would like to thank Violette Lecointre for her participation at modeling the case-study with Roméo.

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Authors and Affiliations

  1. THALES Research and Technology, 1 Avenue Augustin Fresnel, 91120, Palaiseau, France

    Baptiste Parquier, Laurent Rioux, Rafik Henia & Romain Soulat

  2. IRCCyN, 1 Rue de la Noë, 44300, Nantes, France

    Baptiste Parquier, Olivier H. Roux, Didier Lime & Étienne André

  3. Université Paris 13, Sorbonne Paris Cité, LIPN, CNRS, UMR 7030, 93430, Villetaneuse, France

    Étienne André

Authors
  1. Baptiste Parquier
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  2. Laurent Rioux
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  3. Rafik Henia
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  4. Romain Soulat
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  5. Olivier H. Roux
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  6. Didier Lime
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  7. Étienne André
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Correspondence to Baptiste Parquier .

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Editors and Affiliations

  1. KTH Royal Institute of Technology , Stockholm, Sweden

    Cyrille Artho

  2. Dept of Informatics, University of Oslo, Oslo, Norway

    Peter Csaba Ölveczky

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Parquier, B. et al. (2017). Applying Parametric Model-Checking Techniques for Reusing Real-Time Critical Systems. In: Artho, C., Ölveczky, P. (eds) Formal Techniques for Safety-Critical Systems. FTSCS 2016. Communications in Computer and Information Science, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-53946-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-53946-1_8

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