\(\mathcal {S}\)BIP 2.0: Statistical Model Checking Stochastic Real-Time Systems

  • Braham Lotfi MediouniEmail author
  • Ayoub Nouri
  • Marius Bozga
  • Mahieddine Dellabani
  • Axel Legay
  • Saddek Bensalem
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11138)


This paper presents a major new release of \(\mathcal {S}\)BIP, an extensible statistical model checker for Metric (MTL) and Linear-time Temporal Logic (LTL) properties on respectively Generalized Semi-Markov Processes (GSMP), Continuous-Time (CTMC) and Discrete-Time Markov Chain (DTMC) models. The newly added support for MTL, GSMPs, CTMCs and rare events allows to capture both real-time and stochastic aspects, allowing faithful specification, modeling and analysis of real-life systems. \(\mathcal {S}\)BIP is redesigned as an IDE providing project management, model edition, compilation, simulation, and statistical analysis.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Braham Lotfi Mediouni
    • 1
    Email author
  • Ayoub Nouri
    • 1
  • Marius Bozga
    • 1
  • Mahieddine Dellabani
    • 1
  • Axel Legay
    • 2
  • Saddek Bensalem
    • 1
  1. 1.Univ. Grenoble Alpes, CNRS, Grenoble INP*, VERIMAGGrenobleFrance
  2. 2.INRIARennesFrance

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