We study the model-checking problem for a logic for true concurrency, whose formulae predicate about events in computations and their causal dependencies. The logic, which represents the logical counterpart of history-preserving bisimilarity, is naturally interpreted over event structures or any formalism that can be given a causal semantics, like Petri nets. It includes least and greatest fixpoint operators and thus it can express properties of infinite computations. Since the event structure associated with a system is typically infinite (even if the system is finite state), already the decidability of model-checking is non-trivial. We first develop a local model-checking technique based on a tableau system, for which, over a class of event structures satisfying a suitable regularity condition, referred to as strong regularity, we prove termination, soundness, and completeness. The tableau system allows for a clean and intuitive proof of decidability, but a direct implementation of the procedure can be extremely inefficient. For easing the development of a more efficient model-checking technique, we move to an automata-theoretic framework. Given a formula and a strongly regular event structure, we show how to construct a parity tree automaton whose language is non-empty if and only if the event structure satisfies the formula. The automaton is usually infinite. We discuss how it can be quotiented to an equivalent finite automaton, where emptiness can be checked effectively. To show the applicability of the approach, we discuss how it instantiates to finite safe Petri nets, providing also a corresponding proof-of-concept model-checking tool.

Model Checking a Logic for True Concurrency

Padoan, Tommaso
2020-01-01

Abstract

We study the model-checking problem for a logic for true concurrency, whose formulae predicate about events in computations and their causal dependencies. The logic, which represents the logical counterpart of history-preserving bisimilarity, is naturally interpreted over event structures or any formalism that can be given a causal semantics, like Petri nets. It includes least and greatest fixpoint operators and thus it can express properties of infinite computations. Since the event structure associated with a system is typically infinite (even if the system is finite state), already the decidability of model-checking is non-trivial. We first develop a local model-checking technique based on a tableau system, for which, over a class of event structures satisfying a suitable regularity condition, referred to as strong regularity, we prove termination, soundness, and completeness. The tableau system allows for a clean and intuitive proof of decidability, but a direct implementation of the procedure can be extremely inefficient. For easing the development of a more efficient model-checking technique, we move to an automata-theoretic framework. Given a formula and a strongly regular event structure, we show how to construct a parity tree automaton whose language is non-empty if and only if the event structure satisfies the formula. The automaton is usually infinite. We discuss how it can be quotiented to an equivalent finite automaton, where emptiness can be checked effectively. To show the applicability of the approach, we discuss how it instantiates to finite safe Petri nets, providing also a corresponding proof-of-concept model-checking tool.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3059078
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