Parametric Timed Pattern Matching

Author:

Waga Masaki1ORCID,André Étienne2,Hasuo Ichiro3

Affiliation:

1. Kyoto University, Kyoto-shi, Kyoto, Japan

2. Université de Lorraine, CNRS, Inria, LORIA, Vandoeuvre-lès-Nancy, France

3. National Institute of Informatics, Chiyoda-ku, Tokyo, Japan

Abstract

Given a log and a specification, timed pattern matching aims at exhibiting for which start and end dates a specification holds on that log. For example, “a given action is always followed by another action before a given deadline”. This problem has strong connections with monitoring real-time systems. We address here timed pattern matching in the presence of an uncertain specification, i.e., that may contain timing parameters (e.g., the deadline can be uncertain or unknown). We want to know for which start and end dates, and for what values of the timing parameters, a property holds. For instance, we look for the minimum or maximum deadline (together with the corresponding start and end dates) for which the property holds. We propose two frameworks for parametric timed pattern matching. The first one is based on parametric timed model checking. In contrast to most parametric timed problems, the solution is effectively computable. The second one is a dedicated method; not only we largely improve the efficiency compared to the first method, but we further propose optimizations with skipping. Our experiment results suggest that our algorithms, especially the second one, are efficient and practically relevant.

Funder

JST ERATO HASUO Metamathematics for Systems Design

JSPS

JST CEREST

ANR national research program PACS

ANR-NRF French-Singaporean research program ProMiS

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MoULDyS: Monitoring of autonomous systems in the presence of uncertainties;Science of Computer Programming;2023-08

2. Pattern Matching and Parameter Identification for Parametric Timed Regular Expressions;Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control;2023-05-09

3. Offline and Online Monitoring of Scattered Uncertain Logs Using Uncertain Linear Dynamical Systems;Formal Techniques for Distributed Objects, Components, and Systems;2022

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