Explainable Online Monitoring of Metric First-Order Temporal Logic
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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.
Original language | English |
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Title of host publication | Tools 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 |
Editors | Bernd Finkbeiner, Laura Kovács |
Number of pages | 20 |
Publisher | Springer |
Publication date | 2024 |
Pages | 288-307 |
ISBN (Print) | 9783031572456 |
DOIs | |
Publication status | Published - 2024 |
Event | 30th 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, Luxembourg Duration: 6 Apr 2024 → 11 Apr 2024 |
Conference
Conference | 30th 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 |
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Land | Luxembourg |
By | Luxembourg City |
Periode | 06/04/2024 → 11/04/2024 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 14570 LNCS |
ISSN | 0302-9743 |
Bibliographical note
Publisher Copyright:
© The Author(s) 2024.
ID: 392211816