Semantic Labelling in Practice
Abstract
Automating semantic labelling for termination proofs is a combinatorially hard problem since the number of algebras grows prohibitively large even for small domains. We report on experiments with our tools Matchbox and MnM, comparing various model finding strategies: exhaustive enumeration for bounded domain sizes within restricted search spaces, and semantic context-closure for fixed algebras.
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