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Measuring Similarity between Business Process Models

  • Boudewijn van Dongen
  • Remco Dijkman
  • Jan Mendling
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5074)

Abstract

Quality aspects become increasingly important when business process modeling is used in a large-scale enterprise setting. In order to facilitate a storage without redundancy and an efficient retrieval of relevant process models in model databases it is required to develop a theoretical understanding of how a degree of behavioral similarity can be defined. In this paper we address this challenge in a novel way. We use causal footprints as an abstract representation of the behavior captured by a process model, since they allow us to compare models defined in both formal modeling languages like Petri nets and informal ones like EPCs. Based on the causal footprint derived from two models we calculate their similarity based on the established vector space model from information retrieval. We validate this concept with an experiment using the SAP Reference Model and an implementation in the ProM framework.

Keywords

Business Process Modeling Event-driven Process Chains Similarity Equivalence 

References

  1. 1.
    van der Aalst, W.M.P., Alves de Medeiros, A.K., Weijters, A.J.M.M.: Process Equivalence: Comparing two process models based on observed behavior. In: Dustdar, S., Fiadeiro, J.L., Sheth, A. (eds.) BPM 2006. LNCS, vol. 4102, pp. 129–144. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  2. 2.
    Baeza-Yates, R.A., Ribeiro-Neto, B.A.: Modern Information Retrieval. ACM Press, New York (1999)Google Scholar
  3. 3.
    Becker, J., Rosemann, M., von Uthmann, C.: Guidelines of Business Process Modeling. In: van der Aalst, W.M.P., Desel, J., Oberweis, A. (eds.) Business Process Management. Models, Techniques, and Empirical Studies, pp. 30–49. Springer, Berlin (2000)Google Scholar
  4. 4.
    Biskup, J.: Achievements of relational database schema design theory revisited. In: Libkin, L., Thalheim, B. (eds.) Semantics in Databases 1995. LNCS, vol. 1358, pp. 29–54. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  5. 5.
    Dijkman, R.: A Classification of Differences between Similar Business Processes. In: Proceedings of the 11th IEEE EDOC Conference (EDOC 2007), pp. 37–50 (2007)Google Scholar
  6. 6.
    van Dongen, B.F., Dijkman, R.M., Mendling, J.: Detection of similarity between business process models. BETA Working Paper 233, Eindhoven University of Technology (2007)Google Scholar
  7. 7.
    van Dongen, B.F., Mendling, J., van der Aalst, W.M.P.: Structural Patterns for Soundness of Business Process Models. In: Proceedings of the 10th IEEE International EDOC Conference (EDOC 2006), pp. 116–128. IEEE, Los Alamitos (2006)Google Scholar
  8. 8.
    Eertink, H., Janssen, W., Oude Luttighuis, P., Teeuw, W.B., Vissers, C.A.: A business process design language. In: Wing, J.M., Woodcock, J.C.P., Davies, J. (eds.) FM 1999. LNCS, vol. 1708, pp. 76–95. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  9. 9.
    Ehrig, M., Koschmider, A., Oberweis, A.: Measuring similarity between semantic business process models. In: Roddick, J.F., Hinze, A. (eds.) Proceedings of the Fourth Asia-Pacific Conference on Conceptual Modelling (APCCM 2007), pp. 71–80 (2007)Google Scholar
  10. 10.
    Green, P., Rosemann, M.: Integrated Process Modeling. An Ontological Evaluation. Information Systems 25(2), 73–87 (2000)CrossRefGoogle Scholar
  11. 11.
    Grossmann, G., Ren, Y., Schrefl, M., Stumptner, M.: Behavior based integration of composite business processes. In: van der Aalst, W.M.P., Benatallah, B., Casati, F., Curbera, F. (eds.) BPM 2005. LNCS, vol. 3649, pp. 186–204. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  12. 12.
    Johnson, R., Pearson, D., Pingali, K.: The program structure tree: Computing control regions in linear time. In: Proceedings of the ACM SIGPLAN’94 Conference on Programming Language Design and Implementation. SIGPLAN Notices, vol. 29(6), pp. 171–185 (1994)Google Scholar
  13. 13.
    Keller, G., Nüttgens, M., Scheer, A.-W.: Semantische Prozessmodellierung auf der Grundlage Ereignisgesteuerter Prozessketten (EPK). Heft 89, Institut für Wirtschaftsinformatik, Saarbrücken, Germany (1992)Google Scholar
  14. 14.
    Klein, M., Bernstein, A.: Toward high-precision service retrieval. IEEE Internet Computing 8(1), 30–36 (2004)CrossRefGoogle Scholar
  15. 15.
    Krogstie, J., Sindre, G., Jørgensen, H.D.: Process models representing knowledge for action: a revised quality framework. Europ. J. of Information Systems 15(1), 91–102 (2006)CrossRefGoogle Scholar
  16. 16.
    Levenshtein, I.: Binary code capable of correcting deletions, insertions and reversals. Cybernetics and Control Theory 10(8), 707–710 (1966)MathSciNetGoogle Scholar
  17. 17.
    Manna, Z., Pnueli, A.: The Temporal Logic of Reactive and Concurrent Systems: Specification. Springer, New York (1991)zbMATHGoogle Scholar
  18. 18.
    Mendling, J., van der Aalst, W.M.P.: Formalization and Verification of EPCs with OR-Joins Based on State and Context. In: Krogstie, J., Opdahl, A., Sindre, G. (eds.) CAiSE 2007 and WES 2007. LNCS, vol. 4495, pp. 439–453. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  19. 19.
    Mendling, J., Simon, C.: Business Process Design by View Integration. In: Eder, J., Dustdar, S. (eds.) BPM Workshops 2006. LNCS, vol. 4103, pp. 55–64. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  20. 20.
    Momotko, M., Subieta, K.: Process query language: A way to make workflow processes more flexible. In: Benczúr, A.A., Demetrovics, J., Gottlob, G. (eds.) ADBIS 2004. LNCS, vol. 3255, pp. 306–321. Springer, Heidelberg (2004)Google Scholar
  21. 21.
    Pankratius, V., Stucky, W.: A formal foundation for workflow composition, workflow view definition, and workflow normalization based on petri nets (2005)Google Scholar
  22. 22.
    Pesic, M., Schonenberg, M.H., Sidorova, N., van der Aalst, W.M.P.: Constraint-based workflow models: Change made easy, pp. 77–94 (2007)Google Scholar
  23. 23.
    Porter, M.F.: An algorithm for suffix stripping. Program 14(3), 130–137 (1980)Google Scholar
  24. 24.
    Preuner, G., Conrad, S., Schrefl, M.: View integration of behavior in object-oriented databases. Data & Knowledge Engineering 36(2), 153–183 (2001)zbMATHCrossRefGoogle Scholar
  25. 25.
    Recker, J., Mendling, J., Rosemann, M., van der Aalst, W.M.P.: Model-driven Enterprise Systems Configuration. In: Dubois, E., Pohl, K. (eds.) CAiSE 2006. LNCS, vol. 4001, pp. 369–383. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  26. 26.
    Rosemann, M.: Potential pitfalls of process modeling: part b. Business Process Management Journal 12(3), 377–384 (2006)CrossRefGoogle Scholar
  27. 27.
    Rosemann, M., van der Aalst, W.: A Configurable Reference Modelling Language. Information Systems 32, 1–23 (2007)CrossRefGoogle Scholar
  28. 28.
    Salton, G., Wong, A., Yang, C.S.: A Vector Space Model for Automatic Indexing. Communications of the ACM 18(11), 613–620 (1975)zbMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Boudewijn van Dongen
    • 1
  • Remco Dijkman
    • 1
  • Jan Mendling
    • 2
  1. 1.Eindhoven University of TechnologyThe Netherlands
  2. 2.Queensland University of TechnologyBrisbaneAustralia

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