Detail publikace
Tools at the Frontiers of Quantitative Verification: QComp 2023 Competition Report
ČEŠKA, M. ANDRIUSHCHENKO, R. ARND, H. JUNGES, S. KŘETÍNSKÝ, J.
Originální název
Tools at the Frontiers of Quantitative Verification: QComp 2023 Competition Report
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The analysis of formal models that include quantitative aspects such as timing or probabilistic choices is performed by quantitative verification tools. Broad and mature tool support is available for computing basic properties such as expected rewards on basic models such as Markov chains. Previous editions of QComp, the comparison of tools for the analysis of quantitative formal models, focused on this setting. Many application scenarios, however, require more advanced property types such as LTL and parameter synthesis queries as well as advanced models like stochastic games and partially observable MDPs. For these, tool support is in its infancy today. This paper presents the outcomes of QComp 2023: a survey of the state of the art in quantitative verification tool support for advanced property types and models. With tools ranging from first research prototypes to well-supported integrations into established toolsets, this report highlights today's active areas and tomorrow's challenges in tool-focused research for quantitative verification.
Klíčová slova
Quantitative verification, Markov chains, Markov decision processes, Timed automata.
Autoři
ČEŠKA, M.; ANDRIUSHCHENKO, R.; ARND, H.; JUNGES, S.; KŘETÍNSKÝ, J.
Vydáno
10. 11. 2024
Nakladatel
Springer Nature Switzerland AG
Místo
Cham
ISBN
978-3-031-67694-9
Kniha
International TOOLympics Challenge
Edice
Lecture Notes in Computer Science
Strany od
90
Strany do
146
Strany počet
57
URL
BibTex
@inproceedings{BUT196667,
author="ČEŠKA, M. and ANDRIUSHCHENKO, R. and ARND, H. and JUNGES, S. and KŘETÍNSKÝ, J.",
title="Tools at the Frontiers of Quantitative Verification: QComp 2023 Competition Report",
booktitle="International TOOLympics Challenge",
year="2024",
series="Lecture Notes in Computer Science",
pages="90--146",
publisher="Springer Nature Switzerland AG",
address="Cham",
doi="10.1007/978-3-031-67695-6\{_}4",
isbn="978-3-031-67694-9",
url="https://link.springer.com/chapter/10.1007/978-3-031-67695-6_4"
}