5th International Workshop on Declarative/Decision/Hybrid Mining and Modeling for Business Processes (DeHMiMoP’17)

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  • Jan Vanthienen
  • Claudio Di Ciccio
  • Hajo A. Reijers
  • Slaats, Tijs
  • Dennis Schunselaar
  • Soren Debois
Rules, decisions, and workflows are intertwined components
depicting the overall process. So far imperative workflow modelling languages
have played the major role for the description and analysis of business processes.
Despite their undoubted efficacy in representing sequential executions,
they hide circumstantial information leading to the enactment of activities, and
obscure the rationale behind the verification of requirements, dependencies, and
goals. This workshop aimed at providing a platform for the discussion and
introduction of new ideas related to the development of a holistic approach that
encompasses all those aspects. The objective was to extend the reach of the
business process management audience towards the decisions and rules community
and increase the integration between different imperative, declarative
and hybrid modelling perspectives. Out of the high-quality submitted manuscripts,
three papers were accepted for publication, with an acceptance rate of
50%. They contributed to foster a fruitful discussion among the participants
about the respective impact and the interplay of decision perspective and the
process perspective.
Original languageEnglish
Title of host publicationBusiness Process Management Workshops : BPM 2017 International Workshops, Barcelona, Spain, September 10–11, 2017, Revised Papers
EditorsErnest Teniente, Matthias Weidlich
Publication date2018
ISBN (Print)978-3-319-74029-4
ISBN (Electronic)978-3-319-74030-0
Publication statusPublished - 2018
Event15th International Conference on Business Process Management - Barcelona, Spain
Duration: 10 Sep 201715 Sep 2017
Conference number: 15


Conference15th International Conference on Business Process Management
SeriesLecture Notes in Business Information Processing

    Research areas

  • Process mining, Hybrid models, Process variability Process flexibility, Information theory, Entropy, Knowledge Work

ID: 202483782