Measuring the precision of multi-perspective process models

Felix Mannhardt*, Massimiliano De Leoni, Hajo A. Reijers, Wil M P Van Der Aalst

*Corresponding author for this work

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


Process models need to reflect the real behavior of an organization’s processes to be beneficial for several use cases, such as process analysis, process documentation and process improvement. One quality criterion for a process model is that they should precise and not express more behavior than what is observed in logging data. Existing precision measures for process models purely focus on the control-flow dimension of a process model, thereby ignoring other perspectives, such as the data objects manipulated by the process, the resources executing process activities, and time-related aspects (e.g., activity deadlines). Focusing on the control-flow only, the results may be misleading. This paper extends existing precision measures to incorporate the other perspectives and, through an evaluation with a real-life process and corresponding logging data, demonstrates how the new measure matches our intuitive understanding of precision.

Original languageEnglish
Title of host publicationBusiness Process Management Workshops - 13th International Workshops, BPM 2015, Revised Papers
PublisherSpringer - Verlag
Number of pages13
ISBN (Print)9783319428864
Publication statusPublished - 2016
Event13th International Workshops on Business Process Management Workshops, BPM 2015 - Innsbruck, Austria
Duration: 31 Aug 20153 Sep 2015

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)18651348


Conference13th International Workshops on Business Process Management Workshops, BPM 2015


  • Multi-perspective process mining
  • Precision
  • Process mining
  • Process model quality


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