Discovering Reference Process Models by Mining Process Variants

C. Li, M.U. Reichert, Andreas Wombacher

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

34 Citations (Scopus)
51 Downloads (Pure)

Abstract

Recently, a new generation of adaptive Process-Aware Information Systems (PAIS) has emerged, which allows for dynamic process and service changes (e.g., to insert, delete, and move activities and service executions in a running process). This, in turn, has led to a large number of process variants derived from the same model, but differing in structure due to the applied changes. Generally, such process variants are expensive to configure and difficult to maintain. This paper provides a sophisticated approach which fosters learning from past process changes and allows for mining process variants. As a result we obtain a generic process model for which the average distance between this model and the respective process variants becomes minimal. By adopting this generic model in the PAIS, need for future process configuration and adaptation decreases. We have validated the proposed mining method and implemented it in a powerful proof-of-concept prototype.
Original languageUndefined
Title of host publicationIEEE International Conference on Web Services ICWS '08.
Place of PublicationLos Alamitos
PublisherIEEE Computer Society Press
Pages45-53
Number of pages9
ISBN (Print)978-0-7695-3310-0
DOIs
Publication statusPublished - Sep 2008

Publication series

Name
PublisherIEEE Computer Society Press
Number08332

Keywords

  • EWI-14195
  • METIS-252120
  • SCS-Services
  • IR-65129
  • CR-H

Cite this

Li, C., Reichert, M. U., & Wombacher, A. (2008). Discovering Reference Process Models by Mining Process Variants. In IEEE International Conference on Web Services ICWS '08. (pp. 45-53). [10.1109/ICWS.2008.13] Los Alamitos: IEEE Computer Society Press. https://doi.org/10.1109/ICWS.2008.13