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Relationship-preserving change propagation in process ecosystems

Journal Article


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. © Springer-Verlag Berlin Heidelberg 2012.

UOW Authors


  •   Kurniawan, Tri A.. (external author)
  •   Ghose, Aditya
  •   Dam, Hoa
  •   Le, Lam-Son (external author)

Publication Date


  • 2012

Citation


  • Kurniawan, T. A., Ghose, A. K., Dam, H. Khanh. & Le, L. (2012). Relationship-preserving change propagation in process ecosystems. Lecture Notes in Computer Science, 7636 (N/A), 63-78.

Scopus Eid


  • 2-s2.0-84868338337

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/162

Has Global Citation Frequency


Number Of Pages


  • 15

Start Page


  • 63

End Page


  • 78

Volume


  • 7636

Issue


  • N/A

Place Of Publication


  • Germany

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. © Springer-Verlag Berlin Heidelberg 2012.

UOW Authors


  •   Kurniawan, Tri A.. (external author)
  •   Ghose, Aditya
  •   Dam, Hoa
  •   Le, Lam-Son (external author)

Publication Date


  • 2012

Citation


  • Kurniawan, T. A., Ghose, A. K., Dam, H. Khanh. & Le, L. (2012). Relationship-preserving change propagation in process ecosystems. Lecture Notes in Computer Science, 7636 (N/A), 63-78.

Scopus Eid


  • 2-s2.0-84868338337

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/162

Has Global Citation Frequency


Number Of Pages


  • 15

Start Page


  • 63

End Page


  • 78

Volume


  • 7636

Issue


  • N/A

Place Of Publication


  • Germany