Essential Process Modeling

  • Marlon Dumas
  • Marcello La Rosa
  • Jan Mendling
  • Hajo A. Reijers
Chapter

Abstract

Process models help us to better understand a business process and to identify and prevent issues. This step towards a thorough understanding of business processes is the prerequisite to conduct process analysis, redesign, or automation. In this chapter we become familiar with the basic ingredients of process modeling using the BPMN language. First, we describe the essential concepts of process models, namely how process models relate to process instances. Next, we explain the four main structural blocks of branching and merging in process models. These define exclusive decisions, parallel execution, inclusive decisions, and repetition. We then show how to model business objects and resources involved in a process. Finally, we learn how to use sub-processes to reduce the model’s complexity, and how to reuse these sub-process models from within different process models.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 8.
    A. Alves, A. Arkin, S. Askary, C. Barreto, B. Bloch, F. Curbera, M. Ford, Y. Goland, A. Guizar, N. Kartha, C.K. Liu, R. Khalaf, D. Koenig, M. Marin, V. Mehta, S. Thatte, D. van der Rijn, P. Yendluri, A. Yiu, Web services business process execution language version 2.0. Committee specification 31 january 2007, OASIS, 2007Google Scholar
  2. 29.
    T. Curran, G. Keller, SAP R/3 Business Blueprint: Understanding the Business Process Reference Model (Prentice Hall, Upper Saddle River, 1997)Google Scholar
  3. 32.
    R.B. Davis, E. Brabander, ARIS Design Platform: Getting Started with BPM (Springer, Berlin, 2007)Google Scholar
  4. 39.
    M. Dumas, L. Garcia-Banuelos, M. La Rosa, R. Uba, Fast detection of exact clones in business process model repositories. Inf. Syst. 38(4), 619–633 (2013)Google Scholar
  5. 42.
    C.C. Ekanayake, M. La Rosa, A.H.M. ter Hofstede, M.C. Fauvet, Fragment-based version management for repositories of business process models, in Proceedings of the International Conference on Cooperative Information Systems (CoopIS). Lecture Notes in Computer Science, vol. 7044 (Springer, Berlin, 2011), pp. 20–37Google Scholar
  6. 44.
    G. Engels, A. Forster, E. Heckel, S. Thone, Process Modeling Using UML, in Process-Aware Information Systems, chapter 5, ed. by M. Dumas, W.M.P. van der Aalst, A.H.M. ter Hofstede (Wiley, New York, 2005)Google Scholar
  7. 67.
    A.H.M. ter Hofstede, W.M.P. van der Aalst, M. Adams, N. Russell, (eds.), Modern Business Process Automation: YAWL and Its Support Environment (Springer, Berlin, 2010)Google Scholar
  8. 84.
    M. La Rosa, M. Dumas, C.C. Ekanayake, L. Garcia-Banuelos, J. Recker, Detecting approximate clones in business process model repositories. Inf. Syst. 49, 102–125 (2015)CrossRefGoogle Scholar
  9. 108.
    J. Mendling, Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness. Lecture Notes in Business Information Processing, vol. 6 (Springer, Berlin, 2008)Google Scholar
  10. 111.
    J. Mendling, L. Sánchez-González, F. García, M. La Rosa, Thresholds for error probability measures of business process models. J. Syst. Softw. 85(5), 1188–1197 (2012)CrossRefGoogle Scholar
  11. 112.
    J. Mendling, M. Strembeck, J. Recker, Factors of process model comprehension - findings from a series of experiments. Decis. Support Syst. 53(1), 195–206 (2012)CrossRefGoogle Scholar
  12. 120.
    Object Management Group, Unified Modeling Language (UML) Version 2.5, 2015Google Scholar
  13. 137.
    H.A. Reijers, J. Mendling, R.M. Dijkman, Human and automatic modularizations of process models to enhance their comprehension. Inf. Syst. 36(5), 881–897 (2011)CrossRefGoogle Scholar
  14. 156.
    A.-W. Scheer, ARIS Business Process Modelling (Springer, New York, 2000)CrossRefGoogle Scholar
  15. 176.
    W.M.P. van der Aalst K. Van Hee, Workflow Management: Models, Methods, and Systems (MIT Press, Cambridge, 2004)Google Scholar
  16. 195.
    Workflow Patterns Initiative, Workflow Patterns Home Page, 2001. http://www.workflowpatterns.com

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Marlon Dumas
    • 1
  • Marcello La Rosa
    • 2
  • Jan Mendling
    • 3
  • Hajo A. Reijers
    • 4
  1. 1.Institute of Computer ScienceUniversity of TartuTartuEstonia
  2. 2.School of Computing and Information SystemsThe University of MelbourneMelbourneAustralia
  3. 3.Institute for Information BusinessVienna University of Economics and BusinessViennaAustria
  4. 4.Department of Computer SciencesVrije Universiteit AmsterdamAmsterdamThe Netherlands

Personalised recommendations