Modeling and enacting enterprise decisions

Laurent Janssens*, Johannes De Smedt, Jan Vanthienen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


For years, the capturing of business decisions in enterprise models has not been treated as a separate concern. Rather, decisions were included in business process models or in knowledge models and ontologies. This leaves the overall view of a decision and its interplay with other decision and data requirements dispersed and hard to maintain.

The recently introduced OMG Decision Model and Notation (DMN) standard deals with decisions as a separate concern and presents decision modeling as a sovereign part of enterprise modeling. Decisions are modeled at the logical level, and the model is executable. This work links the logical decision model to various execution strategies and processes by formalizing decisions within a business context, and by examining execution mechanisms for different availability of input data. These strategies can determine the preferred business process that handles the decision or allow to execute a decision model even when not all inputs are available up front.

Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering Workshops
Subtitle of host publicationCAiSE 2016 International Workshops, Ljubljana, Slovenia, June 13-17, 2016, Proceedings
EditorsJ Krogstie, H Mouratidis, J Su
PublisherSpringer-Verlag Berlin Heidelberg
Number of pages12
ISBN (Electronic)978-3-319-39564-7
ISBN (Print)978-3-319-39563-0
Publication statusPublished - 2016
Event28th International Conference on Advanced Information Systems Engineering (CAiSE) - Ljubljana, Slovenia
Duration: 13 Jun 201617 Jun 2016

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348


Conference28th International Conference on Advanced Information Systems Engineering (CAiSE)


  • decision modeling
  • process modeling
  • process enactment
  • decision execution
  • design
  • risk


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