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Relationship-Preserving Change Propagation in Process Ecosystems

  • Tri A. Kurniawan
  • Aditya K. Ghose
  • Hoa Khanh Dam
  • Lam-Son Lê
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7636)

Abstract

As process-orientation continues to be broadly adopted – evidenced by the increasing number of large business process repositories, managing changes in such complex repositories becomes a growing issue. A critical aspect in evolving business processes is change propagation: given a set of primary changes made to a process in a repository, what additional changes are needed to maintain consistency of relationships between various processes in the repository. In this paper, we view a collection of interrelated processes as an ecosystem in which inter-process relationships are formally defined through their annotated semantic effects. We also argue that change propagation is in fact the process of restoring consistency-equilibrium of a process ecosystem. In addition, the underlying change propagation mechanism of our framework is leveraged upon the well-known Constraint Satisfaction Problem (CSP) technology. Our initial experimental results indicate the efficiency of our approach in propagating changes within medium-sized process repositories.

Keywords

inter-process relationship semantic effect process ecosystem change propagation constraint network 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tri A. Kurniawan
    • 1
  • Aditya K. Ghose
    • 1
  • Hoa Khanh Dam
    • 1
  • Lam-Son Lê
    • 1
  1. 1.Decision Systems Lab., School of Computer Science and Software EngineeringUniversity of WollongongAustralia

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