How Much Language Is Enough? Theoretical and Practical Use of the Business Process Modeling Notation

By M. Muehlen, J. Recker. International Conference on Advanced Information Systems Engineering, 2008

500 citations recorded by the source corpus.

The Business Process Modeling Notation (BPMN) is an increasingly important industry standard for the graphical representation of business processes. BPMN offers a wide range of modeling constructs, significantly more than other popular languages. However, not all of these constructs are equally important in practice as business analysts frequently use arbitrary subsets of BPMN. In this paper we investigate what these subsets are, and how they differ between academic, consulting, and general use of the language. We analyzed 120 BPMN diagrams using mathematical and statistical techniques. Our findings indicate that BPMN is used in groups of several, well-defined construct clusters, but less than 20% of its vocabulary is regularly used and some constructs did not occur in any of the models we analyzed. While the average model contains just 9 different BPMN constructs, models of this complexity have typically just 4-5 constructs in common, which means that only a small agreed subset of BPMN has emerged. Our findings have implications for the entire ecosystems of analysts and modelers in that they provide guidance on how to reduce language complexity, which should increase the ease and speed of process modeling.

Subfields: Information Systems, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/adf330df1e3d7981b39ffa8e4e12efd20047749f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

  1. Bernd Weber
  2. J. Recker
  3. Manfred Reichert
  4. Jan Mendling
  5. Wil M.P. van der Aalst
  6. Michael Rosemann
  7. Marta Indulska
  8. Peter F. Green

In Management Information Systems

  1. Bernd Weber
  2. Manfred Reichert
  3. J. Recker
  4. Wil M.P. van der Aalst
  5. Jan Mendling
  6. Marta Indulska
  7. Michael Rosemann
  8. Peter F. Green

In Management Science and Operations Research

  1. Bernd Weber
  2. Manfred Reichert
  3. Wil M.P. van der Aalst
  4. J. Recker
  5. Jan Mendling
  6. Wil van der Aalst

Citations in the corpus