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Symbolic Specialization of Rewriting Logic Theories with Presto

THEORY AND PRACTICE OF LOGIC programming 2022年第3期22卷 444-495页

作者： Alpuente, Maria Escobar, Santiago Sapina, Julia Ballis, Demis Univ Politecn Valencia VRAIN Valencian Res Inst Artificial Intelligence Valencia Spain Univ Udine DMIF Udine Italy

This paper introduces Presto, a symbolic partial evaluator for Maude's rewriting logic theories that can improve system analysis and verification. In Presto, the automated optimization of a conditional rewrite theory R (whose rules define the concurrent transitions of a system) is achieved by partially evaluating, with respect to the rules of R, an underlying, companion equational logic theory E that specifies the algebraic structure of the system states of R. This can be particularly useful for specializing an overly general equational theory E whose operators may obey complex combinations of associativity, commutativity, and/or identity axioms, when being plugged into a host rewrite theory R as happens, for instance, in protocol analysis, where sophisticated equational theories for cryptography are used. Presto implements different unfolding operators that are based on folding variant narrowing (the symbolic engine of Maude's equational theories). When combined with an appropriate abstraction algorithm, they allow the specialization to be adapted to the theory termination behavior and bring significant improvement while ensuring strong correctness and termination of the specialization. We demonstrate the effectiveness of Presto in several examples of protocol analysis where it achieves a significant speed-up. Actually, the transformation provided by Presto may cut down an infinite folding variant narrowing space to a finite one, and moreover, some of the costly algebraic axioms and rule conditions may be eliminated as well. As far as we know, this is the first partial evaluator for Maude that respects the semantics of functional, logic, concurrent, and object-oriented computations.

关键词： multi-paradigm declarative programming partial evaluation rewriting logic narrowing

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