The 2019 Comparison of Tools for the Analysis of Quantitative Formal Models - (QComp 2019 Competition Report)

Ernst Moritz Hahn, Arnd Hartmanns, Christian Hensel, Michaela Klauck, Joachim Klein, Jan Kretínský, David Parker, Tim Quatmann, Enno Ruijters, Marcel Steinmetz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)


Quantitative formal models capture probabilistic behaviour, real-time aspects, or general continuous dynamics. A number of tools support their automatic analysis with respect to dependability or performance properties. QComp 2019 is the first, friendly competition among such tools. It focuses on stochastic formalisms from Markov chains to probabilistic timed automata specified in the Jani model exchange format, and on probabilistic reachability, expected-reward, and steady-state properties. QComp draws its benchmarks from the new Quantitative Verification Benchmark Set. Participating tools, which include probabilistic model checkers and planners as well as simulation-based tools, are evaluated in terms of performance, versatility, and usability. In this paper, we report on the challenges in setting up a quantitative verification competition, present the results of QComp 2019, summarise the lessons learned, and provide an outlook on the features of the next edition of QComp.

Original languageEnglish
Title of host publicationTools and Algorithms for the Construction and Analysis of Systems - 25 Years of TACAS: TOOLympics, Held as Part of ETAPS 2019, Prague, Czech Republic, April 6-11, 2019, Proceedings, Part III
Subtitle of host publicationTOOLympics, Held as Part of ETAPS 2019, Proceedings
EditorsBernhard Steffen, Fabrice Kordon, Dirk Beyer, Marieke Huisman
Number of pages24
Publication statusPublished - 2019


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