A benchmark evaluation of incremental pattern matching in graph transformation

Gábor Bergmann, Ákos Horváth, István Ráth, Dániel Varró

Research output: Conference contribution

31 Citations (Scopus)

Abstract

In graph transformation, the most cost-intensive phase of a transformation execution is pattern matching, where those subgraphs of a model graph are identified and matched which satisfy constraints prescribed by graph patterns. Incremental pattern matching aims to improve the efficiency of this critical step by storing the set of matches of a graph transformation rule and incrementally maintaining it as the model changes, thus eliminating the need of recalculating existing matches of a pattern. In this paper, we propose benchmark examples where incremental pattern matching is expected to have advantageous effect in the application domain of model simulation and model synchronization. Moreover, we compare the incremental graph pattern matching approach of Viatra2 with advanced non-incremental local-search based graph pattern matching approaches (as available in Viatra2 and GrGen).

Original languageEnglish
Title of host publicationGraph Transformations - 4th International Conference, ICGT 2008, Proceedings
Pages396-410
Number of pages15
DOIs
Publication statusPublished - nov. 26 2008
Event4th International Conference on Graph Transformations, ICGT 2008 - Leicester, United Kingdom
Duration: szept. 7 2008szept. 13 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5214 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Graph Transformations, ICGT 2008
CountryUnited Kingdom
CityLeicester
Period9/7/089/13/08

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Bergmann, G., Horváth, Á., Ráth, I., & Varró, D. (2008). A benchmark evaluation of incremental pattern matching in graph transformation. In Graph Transformations - 4th International Conference, ICGT 2008, Proceedings (pp. 396-410). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5214 LNCS). https://doi.org/10.1007/978-3-540-87405-8_27