Efficient Evidence Generation for Modal µ-Calculus Model Checking

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Samenvatting

Model checking is a technique to automatically establish whether a model of the behaviour of a system meets its requirements. Evidence explaining why the behaviour does (not) meet its requirements is essential for the user to understand the model checking result. Willemse and Wesselink showed that parameterised Boolean equation systems (PBESs), an intermediate format for µ-calculus model checking, can be extended with information to generate such evidence. Solving the resulting PBES is much slower than solving one without additional information, and sometimes even impossible. In this paper we develop a two-step approach to solving a PBES with additional information: we first solve its core and subsequently use the information obtained in this step to solve the PBES with additional information. We prove the correctness of our approach and we have implemented it, demonstrating that it efficiently generates evidence using both explicit and symbolic solving techniques.
Originele taal-2Engels
TitelTools and Algorithms for the Construction and Analysis of Systems
Subtitel31st International Conference, TACAS 2025, Held as Part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2025, Hamilton, ON, Canada, May 3–8, 2025, Proceedings, Part I
RedacteurenArie Gurfinkel, Marijn Heule
UitgeverijSpringer
Pagina's191-210
Aantal pagina's20
ISBN van elektronische versie978-3-031-90643-5
ISBN van geprinte versie978-3-031-90642-8
DOI's
StatusGepubliceerd - 1 mei 2025
Evenement31st International Conference, TACAS 2025: Held as Part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2025 - Canada, Hamilton, Canada
Duur: 3 mei 20258 mei 2025

Publicatie series

NaamLecture Notes in Computer Science (LNCS)
Volume15696
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres31st International Conference, TACAS 2025
Land/RegioCanada
StadHamilton
Periode3/05/258/05/25

Financiering

This work was supported by the National Growth Fund through the Dutch 6G flagship project \u201CFuture Network Services\u201D, MACHI-NAIDE (ITEA3, No. 18030), and Cynergy4MIE (ChipsJU, No. 101140226).

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