Offline timed pattern matching under uncertainty

TL;DR

This paper introduces a framework for offline timed pattern matching under uncertainty, enabling the analysis of real-time system logs with uncertain timing specifications using parametric timed model checking.

Contribution

It presents a novel, effectively computable approach for timed pattern matching with uncertain specifications, leveraging parametric timed model checking and experimental validation.

Findings

Effective computation of timing parameters under uncertainty

Application of IMITATOR for real-world experiments

Enhanced analysis of real-time system logs

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 presence of an uncertain specification, i.e., that may contain timing parameters (e.g., the deadline can be uncertain or unknown). That is, we want to know for which start and end dates, and for what values of the deadline, this property holds. Or what is the minimum or maximum deadline (together with the corresponding start and end dates) for which this property holds. We propose here a framework for timed pattern matching based on parametric timed model checking. In contrast to most parametric timed problems, the solution is effectively computable, and we perform experiments using IMITATOR to show the applicability of our approach.