UPPAAL-SMC: Statistical Model Checking for Priced Timed Automata

Peter Bulychev
(Aalborg University, Denmark)
Alexandre David
(Aalborg University, Denmark)
Kim Gulstrand Larsen
(Aalborg University, Denmark)
Marius Mikučionis
(Aalborg University, Denmark)
Danny Bøgsted Poulsen
(Aalborg University, Denmark)
Axel Legay
(INRIA rennes, France and Aalborg University, Denmark)
Zheng Wang
(East China Normal University, China)

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.

Invited Presentation in Herbert Wiklicky and Mieke Massink: Proceedings 10th Workshop on Quantitative Aspects of Programming Languages and Systems (QAPL 2012), Tallinn, Estonia, 31 March and 1 April 2012, Electronic Proceedings in Theoretical Computer Science 85, pp. 1–16.
Published: 3rd July 2012.

ArXived at: https://dx.doi.org/10.4204/EPTCS.85.1 bibtex PDF
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