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A Platform for Research on Process Model Collections

  • Rami-Habib Eid-Sabbagh
  • Matthias Kunze
  • Andreas Meyer
  • Mathias Weske
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 125)

Abstract

Business process management has received considerable attention and many companies achieved a high maturity level and hence, generated collections of process models that form a knowledge asset essential to their operations. These collections bear opportunities for innovation: Empirical research establishes methods and techniques to support and improve business process management; yet, these need to be validated with regards to process models from industry. However, due to their heterogeneity, extracting and analyzing process models from process model collections is a tedious task and time consuming.

To facilitate access to process model collections, this paper presents an extensible platform for their analysis that shall support researchers and foster collaboration and reuse. This platform provides importing functionality for a set of process collections recognized in research and functionality to easily explore, transform, and extract information from process model collections. In a small showcase, we illustrate the application of the platform towards clustering a collection of process models.

Keywords

Business Process Business Process Management Business Process Model Unit Chain Business Process Modeling Notation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Rosemann, M.: Potential pitfalls of process modeling: part B. Business Process Management Journal 12(3), 377–384 (2006)CrossRefGoogle Scholar
  2. 2.
    Akkiraju, R., Ivan, A.: Discovering Business Process Similarities: An Empirical Study with SAP Best Practice Business Processes. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6470, pp. 515–526. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  3. 3.
    Curran, T., Keller, G., Ladd, A.: SAP R/3 Business Blueprint: Understanding the Business Process Reference Model. Prentice-Hall, Inc., Upper Saddle River (1997)Google Scholar
  4. 4.
    Fahland, D., Favre, C., Jobstmann, B., Koehler, J., Lohmann, N., Völzer, H., Wolf, K.: Instantaneous Soundness Checking of Industrial Business Process Models. In: Dayal, U., Eder, J., Koehler, J., Reijers, H.A. (eds.) BPM 2009. LNCS, vol. 5701, pp. 278–293. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  5. 5.
    Eid-Sabbagh, R.H., Kunze, M., Weske, M.: An Open Process Model Library. In: Proceedings of the 1st International Workshop on Process Model Collections, PMC 2011 (2011)Google Scholar
  6. 6.
    Yan, Z., Dijkman, R.M., Grefen, P.W.P.J.: Business Process Model Repositories - Framework and Survey. Information & Software Technology 54(4), 380–395 (2012)CrossRefGoogle Scholar
  7. 7.
    van der Aalst, W.M.P.: Process Mining - Discovery, Conformance and Enhancement of Business Processes. Springer (2011)Google Scholar
  8. 8.
    Weske, M.: Business Process Management: Concepts, Languages, Architectures, 2nd edn. Springer (2012)Google Scholar
  9. 9.
    Decker, G., Overdick, H., Weske, M.: Oryx – An Open Modeling Platform for the BPM Community. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 382–385. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  10. 10.
    ter Hofstede, A.H.M., van der Aalst, W.M.P., Adams, M., Russell, N.: Modern Business Process Automation - YAWL and its Support Environment. Springer (2010)Google Scholar
  11. 11.
    Kunze, M., Luebbe, A., Weidlich, M., Weske, M.: Towards Understanding Process Modeling – The Case of the BPM Academic Initiative. In: Dijkman, R., Hofstetter, J., Koehler, J. (eds.) BPMN 2011. LNBIP, vol. 95, pp. 44–58. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  12. 12.
    Dijkman, R.M., Rosa, M.L., Reijers, H.A.: Managing large collections of business process models - current techniques and challenges. Computers in Industry 63(2), 91–97 (2012)CrossRefGoogle Scholar
  13. 13.
    Muehlen, M.Z., Recker, J.: How Much Language Is Enough? Theoretical and Practical Use of the Business Process Modeling Notation. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 465–479. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  14. 14.
    Mendling, J.: Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness. LNBIP, vol. 6. Springer, Heidelberg (2008)Google Scholar
  15. 15.
    Mendling, J., Reijers, H.A., van der Aalst, W.M.P.: Seven process modeling guidelines (7pmg). Inf. Softw. Technol. 52(2), 127–136 (2010)CrossRefGoogle Scholar
  16. 16.
    Mendling, J., Reijers, H.A., Recker, J.: Activity Labeling in Process Modeling: Empirical Insights and Recommendations. Inf. Syst. 35(4), 467–482 (2010)CrossRefGoogle Scholar
  17. 17.
    Fettke, P., Loos, P., Zwicker, J.: Business Process Reference Models: Survey and Classification. In: Bussler, C.J., Haller, A. (eds.) BPM 2005. LNCS, vol. 3812, pp. 469–483. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  18. 18.
    Malone, T., Crowston, K., Herman, G.: Organizing Business Knowledge: The Mit Process Handbook. Process Handbook. MIT Press (2003)Google Scholar
  19. 19.
    Dumas, M., García-Bañuelos, L., Dijkman, R.M.: Similarity Search of Business Process Models. IEEE Data Eng. Bull. 32(3), 23–28 (2009)Google Scholar
  20. 20.
    Dijkman, R., Dumas, M., van Dongen, B., Käärik, R., Mendling, J.: Similarity of business process models: Metrics and evaluation. Information Systems 36(2), 498–516 (2011); Special Issue: Semantic Integration of Data, Multimedia, and ServicesCrossRefGoogle Scholar
  21. 21.
    Kunze, M., Weidlich, M., Weske, M.: Behavioral Similarity – A Proper Metric. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 166–181. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  22. 22.
    Yan, Z., Dijkman, R., Grefen, P.: Fast Business Process Similarity Search with Feature-Based Similarity Estimation. In: Meersman, R., Dillon, T.S., Herrero, P. (eds.) OTM 2010, Part I. LNCS, vol. 6426, pp. 60–77. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  23. 23.
    Jin, T., Wang, J., Wu, N., La Rosa, M., ter Hofstede, A.H.M.: Efficient and Accurate Retrieval of Business Process Models through Indexing. In: Meersman, R., Dillon, T.S., Herrero, P. (eds.) OTM 2010, Part I. LNCS, vol. 6426, pp. 402–409. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  24. 24.
    Dijkman, R.M., Vanderfeesten, I., Reijers, H.A.: The Road to a Business Process Architecture: An Overview of Approaches and their Use (2011)Google Scholar
  25. 25.
    Eid-Sabbagh, R.H.: Towards Automatic Generation of Process Architectures for Process Collections. In: 4th Central-European Workshop on Services and their Composition (ZEUS 2012) On-site Proceedings, pp. 88–95 (2012)Google Scholar
  26. 26.
    Rosa, M.L., Reijers, H.A., van der Aalst, W.M., Dijkman, R.M., Mendling, J., Dumas, M., Garcia-Banuelos, L.: Apromore: an advanced process model repository. Expert Systems with Applications 38(6), 7029–7040 (2011)CrossRefGoogle Scholar
  27. 27.
    Hohpe, G., Woolf, B.: Enterprise Integration Patterns – Designing, Building, and Deploying Messaging Solutions. Addison-Wesley Longman Publishing Co., Inc., Boston (2003)Google Scholar
  28. 28.
    Witten, I.H., Frank, E., Hall, M.A.: Data Mining: Practical Machine Learning Tools and Techniques, 3rd edn. Morgan Kaufmann, Burlington (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Rami-Habib Eid-Sabbagh
    • 1
  • Matthias Kunze
    • 1
  • Andreas Meyer
    • 1
  • Mathias Weske
    • 1
  1. 1.Hasso Plattner Institute at the University of PotsdamPotsdamGermany

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