Electronic Proceedings in Theoretical Computer Science (Jul 2012)

UPPAAL-SMC: Statistical Model Checking for Priced Timed Automata

  • Peter Bulychev,
  • Alexandre David,
  • Kim Gulstrand Larsen,
  • Marius Mikučionis,
  • Danny Bøgsted Poulsen,
  • Axel Legay,
  • Zheng Wang

DOI
https://doi.org/10.4204/EPTCS.85.1
Journal volume & issue
Vol. 85, no. Proc. QAPL 2012
pp. 1 – 16

Abstract

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This paper offers a survey of uppaalsmc, a major extension of the real-time verification tool uppaal. uppaalsmc allows for the efficient analysis of performance properties of networks of priced timed automata under a natural stochastic semantics. In particular, uppaalsmc relies on a series of extensions of the statistical model checking approach generalized to handle real-time systems and estimate undecidable problems. uppaalsmc comes together with a friendly user interface that allows a user to specify complex problems in an efficient manner as well as to get feedback in the form of probability distributions and compare probabilities to analyze performance aspects of systems. The focus of the survey is on the evolution of the tool - including modeling and specification formalisms as well as techniques applied - together with applications of the tool to case studies.