Understanding business process models: the costs and benefits of structuredness

  • Authors:
  • Marlon Dumas;Marcello La Rosa;Jan Mendling;Raul Mäesalu;Hajo A. Reijers;Nataliia Semenenko

  • Affiliations:
  • University of Tartu, Estonia;Queensland University of Technology, Australia,NICTA Queensland Research Lab., Australia;Vienna University of Business and Economics, Austria;University of Tartu, Estonia;Eindhoven University of Technology, The Netherlands;University of Tartu, Estonia

  • Venue:
  • CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
  • Year:
  • 2012

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Abstract

Previous research has put forward various metrics of business process models that are correlated with understandability. Two such metrics are size and degree of (block-)structuredness. What has not been sufficiently appreciated at this point is that these desirable properties may be at odds with one another. This paper presents the results of a two-pronged study aimed at exploring the trade-off between size and structuredness of process models. The first prong of the study is a comparative analysis of the complexity of a set of unstructured process models from industrial practice and of their corresponding structured versions. The second prong is an experiment wherein a cohort of students was exposed to semantically equivalent unstructured and structured process models. The key finding is that structuredness is not an absolute desideratum vis-a-vis for process model understandability. Instead, subtle trade-offs between structuredness and other model properties are at play.