Using Process Mining to Learn from Process Changes in Evolutionary Systems

Christian W. Günther, S.B. Rinderle, M.U. Reichert, Wil M.P. van der Aalst, Jan Recker

    Research output: Contribution to journalArticleAcademicpeer-review

    68 Citations (Scopus)

    Abstract

    Traditional information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Accordingly, adaptive process management systems (PMSs) have emerged that provide some flexibility by enabling dynamic process changes during runtime. Based on the assumption that these process changes are recorded explicitly, we present two techniques for mining change logs in adaptive PMSs; i.e., we do not only analyze the execution logs of the operational processes, but also consider the adaptations made at the process instance level. The change processes discovered through process mining provide an aggregated overview of all changes that happened so far. Using process mining as an analysis tool we show in this paper how better support can be provided for truly flexible processes by understanding when and why process changes become necessary.
    Original languageUndefined
    Article number10.1504/IJBPIM.2008.019348
    Pages (from-to)61-78
    Number of pages19
    JournalInternational journal of business process integration and management
    Volume3
    Issue number1
    DOIs
    Publication statusPublished - 2008

    Keywords

    • SCS-Services
    • Process Mining
    • EWI-10841
    • Adaptive Process
    • IR-61879
    • Change Mining
    • Buisness Process Management
    • METIS-250837

    Cite this

    Günther, C. W., Rinderle, S. B., Reichert, M. U., van der Aalst, W. M. P., & Recker, J. (2008). Using Process Mining to Learn from Process Changes in Evolutionary Systems. International journal of business process integration and management, 3(1), 61-78. [10.1504/IJBPIM.2008.019348]. https://doi.org/10.1504/IJBPIM.2008.019348