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Refactoring Process Models in Large Process Repositories

  • Barbara Weber
  • Manfred Reichert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5074)

Abstract

With the increasing adoption of process-aware information systems (PAIS), large process model repositories have emerged. Over time respective models have to be re-aligned to the real-world business processes through customization or adaptation. This bears the risk that model redundancies are introduced and complexity is increased. If no continuous investment is made in keeping models simple, changes are becoming increasingly costly and error-prone. Though refactoring techniques are widely used in software engineering to address related problems, this does not yet constitute state-of-the art in business process management. Process designers either have to refactor process models by hand or cannot apply respective techniques at all. This paper proposes a set of behaviour-preserving techniques for refactoring large process repositories. This enables process designers to effectively deal with model complexity by making process models better understandable and easier to maintain.

Keywords

Quality Metrics Business Process Management Execution Trace Process Instance Change Operation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Barbara Weber
    • 1
  • Manfred Reichert
    • 2
  1. 1.Quality Engineering Research GroupUniversity of InnsbruckAustria
  2. 2.Institute of Databases and Inf. SystemsUlm UniversityGermany

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