Explainable Online Monitoring of Metric First-Order Temporal Logic

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Dokumenter

  • Fulltext

    Forlagets udgivne version, 989 KB, PDF-dokument

Metric first-order temporal logic (MFOTL) is an expressive formalism for specifying temporal and data-dependent constraints on streams of time-stamped, data-carrying events. It serves as the specification language of several runtime monitors. These monitors input an MFOTL formula and an event stream prefix and output satisfying assignments to the formula’s free variables. For complex formulas, it may be unclear why a certain assignment is output. We propose an approach that accompanies assignments with detailed explanations, in the form of proof trees. We develop a new monitor that outputs such explanations. Our tool incorporates a formally verified checker that certifies the explanations and a visualization that allows users to interactively explore and understand the outputs.

OriginalsprogEngelsk
TitelTools and Algorithms for the Construction and Analysis of Systems - 30th International Conference, TACAS 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Proceedings
RedaktørerBernd Finkbeiner, Laura Kovács
Antal sider20
ForlagSpringer
Publikationsdato2024
Sider288-307
ISBN (Trykt)9783031572456
DOI
StatusUdgivet - 2024
Begivenhed30th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2024, which was held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024 - Luxembourg City, Luxemborg
Varighed: 6 apr. 202411 apr. 2024

Konference

Konference30th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2024, which was held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024
LandLuxemborg
ByLuxembourg City
Periode06/04/202411/04/2024
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind14570 LNCS
ISSN0302-9743

Bibliografisk note

Funding Information:
This research is supported by a Novo Nordisk Fonden start package grant (NNF20OC0063462). We thank David Basin, Fran\u00E7ois Hublet, Sr \u00AFdan Krsti\u0107, Matthias Lott, Joshua Schneider for their suggestions on WHYMON\u2019s and EXPLANA-TOR2\u2019s user interfaces. We are also grateful to anonymous TACAS 2024 reviewers, who helped us improve the presentation of this paper with their valuable comments.

Publisher Copyright:
© The Author(s) 2024.

ID: 392211816