Measuring the Complexity of DMN Decision Models

  • Faruk HasićEmail author
  • Alexander De Craemer
  • Thijs Hegge
  • Gideon Magala
  • Jan Vanthienen
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 342)


Complexity impairs the maintainability and understandability of conceptual models. Complexity metrics have been used in software engineering and business process management (BPM) to capture the degree of complexity of conceptual models. A vast array of metrics has been proposed for processes in BPM. The recent introduction of the Decision Model and Notation (DMN) standard provides opportunities to shift towards the Separation of Concerns paradigm when it comes to modelling processes and decisions. However, unlike for processes, no studies exist that address the representational complexity of DMN decision models. In this paper, we provide a first set of ten complexity metrics for the decision requirements level of the DMN standard by gathering insights from the process modelling and software engineering fields. Additionally, we offer a discussion on the evolution of those metrics and we provide directions for future research on DMN compexity.


Decision modelling Decision Model and Notation DMN Complexity Complexity metrics 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Faruk Hasić
    • 1
    Email author
  • Alexander De Craemer
    • 1
  • Thijs Hegge
    • 1
  • Gideon Magala
    • 1
  • Jan Vanthienen
    • 1
  1. 1.Department of Decision Sciences and Information ManagementKU LeuvenLeuvenBelgium

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