A Lean 4 framework that unifies linear temporal logics on finite and infinite traces with embedded data expressions, and proves encodings of LTL and LTLf.
Formalizing MLTL Formula Progression in Isabelle/HOL
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abstract
Mission-time Linear Temporal Logic (MLTL) is rapidly increasing in popularity as a specification logic, e.g., for runtime verification and model checking, driving a need for a trustworthy tool base for analyzing MLTL. In this work, we formalize the syntax and semantics of MLTL and a library of key properties, including useful custom induction rules. We envision this library as being useful for future formalizations involving MLTL and as serving as a reference point for theoretical work using or developing MLTL. We then formalize the algorithm and correctness theorems for MLTL formula progression; along the way, we identify and fix several errors and gaps in the source material. A main motivation for our work is tool validation; we ensure the executability of our algorithms by using Isabelle's built-in code generator.
fields
cs.LO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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LeanLTL: A unifying framework for linear temporal logics in Lean
A Lean 4 framework that unifies linear temporal logics on finite and infinite traces with embedded data expressions, and proves encodings of LTL and LTLf.