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MightyPPL: Verification of MITL with Past and Pnueli Modalities

Published: October 1, 2025 | arXiv ID: 2510.01490v1

By: Hsi-Ming Ho , Shankara Narayanan Krishna , Khushraj Madnani and more

Potential Business Impact:

Checks computer programs for timing mistakes.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

Metric Interval Temporal Logic (MITL) is a popular formalism for specifying properties of reactive systems with timing constraints. Existing approaches to using MITL in verification tasks, however, have notable drawbacks: they either support only limited fragments of the logic or allow for only incomplete verification. This paper introduces MightyPPL, a new tool for translating formulae in Metric Interval Temporal Logic with Past and Pnueli modalities (MITPPL) over the pointwise semantics into timed automata. MightyPPL enables satisfiability and model checking of a much more expressive specification logic over both finite and infinite words and incorporates a number of performance optimisations, including a novel symbolic encoding of transitions and a symmetry reduction technique that leads to an exponential improvement in the number of reachable discrete states. For a given MITPPL formula, MightyPPL can generate either a network of timed automata or a single timed automaton that is language-equivalent and compatible with multiple verification back-ends, including Uppaal, TChecker, and LTSmin, which supports multi-core model checking. We evaluate the performance of the toolchain across various case studies and configuration options.

Page Count
38 pages

Category
Computer Science:
Formal Languages and Automata Theory