TY - GEN
T1 - Tools at the Frontiers of Quantitative Verification
T2 - 3rd International TOOLympics Challenge, TOOLympics 2023 was part of the 26th European Joint Conferences on Theory and Practice of Software, ETAPS 2023
AU - Andriushchenko, Roman
AU - Bork, Alexander
AU - Budde, Carlos E.
AU - Češka, Milan
AU - Grover, Kush
AU - Hahn, Ernst Moritz
AU - Hartmanns, Arnd
AU - Israelsen, Bryant
AU - Jansen, Nils
AU - Jeppson, Joshua
AU - Junges, Sebastian
AU - Köhl, Maximilian A.
AU - Könighofer, Bettina
AU - Křetínský, Jan
AU - Meggendorfer, Tobias
AU - Parker, David
AU - Pranger, Stefan
AU - Quatmann, Tim
AU - Ruijters, Enno
AU - Taylor, Landon
AU - Volk, Matthias
AU - Weininger, Maximilian
AU - Zhang, Zhen
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85209935115&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-67695-6_4
DO - 10.1007/978-3-031-67695-6_4
M3 - Conference contribution
AN - SCOPUS:85209935115
SN - 9783031676949
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 90
EP - 146
BT - TOOLympics Challenge 2023 - Updates, Results, Successes of the Formal-Methods Competitions
A2 - Beyer, Dirk
A2 - Hartmanns, Arnd
A2 - Kordon, Fabrice
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 22 April 2023 through 27 April 2023
ER -