mlsanityData to 14 Oct 2026

On Synthesis of Timed Regular Expressions

arXiv 2509.06262 ↗First posted 8 Sep 2025cs.FL cs.AIcited by 1

Not on the map. Why?

Abstract (arXiv)

Timed regular expressions serve as a formalism for specifying real-time behaviors of Cyber-Physical Systems. In this paper, we consider the synthesis of timed regular expressions, focusing on generating a timed regular expression consistent with a given set of system behaviors including positive and negative examples, i.e., accepting all positive examples and rejecting all negative examples. We first prove the decidability of the synthesis problem through an exploration of simple timed regular expressions. Subsequently, we propose our method of generating a consistent timed regular expression with minimal length, which unfolds in two steps. The first step is to enumerate and prune candidate parametric timed regular expressions. In the second step, we encode the requirement that a candidate generated by the first step is consistent with the given set into a Satisfiability Modulo Theories (SMT) formula, which is consequently solved to determine a solution to parametric time constraints. Finally, we evaluate our approach on benchmarks, including randomly generated behaviors from target timed models and a case study.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 4 of its 49 references that are in the map. First posted on arXiv 8 Sep 2025.

Builds on

4 of 49 references.

References · 4

  1. 2016Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledgecited by 24
  2. 2019Multi-modal Synthesis of Regular Expressionscited by 13
  3. 2020Active learning of timed automata with unobservable resetscited by 3
  4. 2022Active Learning of One-Clock Timed Automata using Constraint Solvingcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.