Clone Detection in Repositories of Business Process Models

  • Reina Uba
  • Marlon Dumas
  • Luciano García-Bañuelos
  • Marcello La Rosa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6896)

Abstract

Over time, process model repositories tend to accumulate duplicate fragments (also called clones) as new process models are created or extended by copying and merging fragments from other models. This phenomenon calls for methods to detect clones in process models, so that these clones can be refactored as separate subprocesses in order to improve maintainability. This paper presents an indexing structure to support the fast detection of clones in large process model repositories. The proposed index is based on a novel combination of a method for process model decomposition (specifically the Refined Process Structure Tree), with established graph canonization and string matching techniques. Experiments show that the algorithm scales to repositories with hundreds of models. The experimental results also show that a significant number of non-trivial clones can be found in process model repositories taken from industrial practice.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Reina Uba
    • 1
  • Marlon Dumas
    • 1
  • Luciano García-Bañuelos
    • 1
  • Marcello La Rosa
    • 2
    • 3
  1. 1.University of TartuEstonia
  2. 2.Queensland University of TechnologyAustralia
  3. 3.NICTA Queensland LabAustralia

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