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Term-Graph Anti-Unification

Authors Alexander Baumgartner, Temur Kutsia, Jordi Levy, Mateu Villaret



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Author Details

Alexander Baumgartner
  • Department of Computer Science (DCC), University of Chile, Santiago, Chile
Temur Kutsia
  • Research Institute for Symbolic Computation, Johannes Kepler University Linz, Austria
Jordi Levy
  • Artificial Intelligence Research Institute (IIIA), Spanish National Research Council, (CSIC), Barcelona, Spain
Mateu Villaret
  • Departament d'Informàtica, Matemàtica Aplicada i Estadística, Universitat de Girona, Girona, Spain

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Alexander Baumgartner, Temur Kutsia, Jordi Levy, and Mateu Villaret. Term-Graph Anti-Unification. In 3rd International Conference on Formal Structures for Computation and Deduction (FSCD 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 108, pp. 9:1-9:17, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.FSCD.2018.9

Abstract

We study anti-unification for possibly cyclic, unranked term-graphs and develop an algorithm, which computes a minimal complete set of generalizations for them. For bisimilar graphs the algorithm computes the join in the lattice generated by a functional bisimulation. These results generalize anti-unification for ranked and unranked terms to the corresponding term-graphs, and solve also anti-unification problems for rational terms and dags. Our results open a way to widen anti-unification based code clone detection techniques from a tree representation to a graph representation of the code.

Subject Classification

ACM Subject Classification
  • Theory of computation → Equational logic and rewriting
Keywords
  • Cyclic term-graps
  • anti-unification
  • least general generalization

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