On Correctness, Precision, and Performance in Quantitative Verification: QComp 2020 Competition Report

Carlos E. Budde, Arnd Hartmanns, Michaela Klauck, Jan Křetínský, David Parker, Tim Quatmann, Andrea Turrini, Zhen Zhang

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

Abstract

Quantitative verification tools compute probabilities, expected rewards, or steady-state values for formal models of stochastic and timed systems. Exact results often cannot be obtained efficiently, so most tools use floating-point arithmetic in iterative algorithms that approximate the quantity of interest. Correctness is thus defined by the desired precision and determines performance. In this paper, we report on the experimental evaluation of these trade-offs performed in QComp 2020: the second friendly competition of tools for the analysis of quantitative formal models. We survey the precision guarantees-ranging from exact rational results to statistical confidence statements-offered by the nine participating tools. They gave rise to a performance evaluation using five tracks with varying correctness criteria, of which we present the results.
Original languageEnglish
Title of host publicationProceedings of the 9th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA'20)
PublisherSpringer
Number of pages25
Publication statusAccepted/In press - 13 Jul 2020
Event9th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA'20) - Rhodes, Greece
Duration: 20 Oct 202030 Oct 2020

Publication series

NameLecture Notes in Comuter Science
PublisherSpringer
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA'20)
Country/TerritoryGreece
CityRhodes
Period20/10/2030/10/20

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