Improving Exception Handling by Discovering Change Dependencies in Adaptive Process Management Systems

  • Barbara Weber
  • Werner Wild
  • Markus Lauer
  • Manfred Reichert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4103)


Process-aware information systems should enable the flexible alignment of business processes to new requirements by supporting deviations from the predefined process model at runtime. To facilitate such dynamic process changes we have adopted techniques from case-based reasoning (CBR). In particular, our existing approach allows to capture the semantics of ad-hoc changes, to support their memorization, and to enable their reuse in upcoming exceptional situations. To further improve change reuse this paper presents an approach for discovering dependencies between ad-hoc modifications from change history. Based on this information better user assistance can be provided when dynamic process changes have to be made.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Reichert, M., Dadam, P.: ADEPTflex – supporting dynamic changes of workflows without losing control. JIIS 10, 93–129 (1998)Google Scholar
  2. 2.
    Dumas, M., ter Hofstede, A., van der Aalst, W. (eds.): Process Aware Information Systems. Wiley Publishing, Chichester (2005)Google Scholar
  3. 3.
    Jørgensen, H.D.: Interactive Process Models. PhD thesis, Norwegian University of Science and Technology, Trondheim, Norway (2004)Google Scholar
  4. 4.
    Rinderle, S., Reichert, M., Dadam, P.: Correctness criteria for dynamic changes in workflow systems – a survey. Data and Knowledge Engineering 50, 9–34 (2004)CrossRefGoogle Scholar
  5. 5.
    Weber, B., Wild, W., Breu, R.: CBRFlow: Enabling adaptive workflow management through conversational case-based reasoning. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 434–448. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  6. 6.
    Weber, B., Rinderle, S., Wild, W., Reichert, M.: CCBR–driven business process evolution. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, pp. 610–624. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  7. 7.
    Rinderle, S., Reichert, M., Weber, B., Wild, W.: Integrating Process Learning and Process Evolution – A Semantics Based Approach. In: van der Aalst, W.M.P., Benatallah, B., Casati, F., Curbera, F. (eds.) BPM 2005. LNCS, vol. 3649, pp. 252–267. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  8. 8.
    Aha, D.W., Muñoz-Avila, H.: Introduction: Interactive case-based reasoning. Applied Intelligence 14, 7–8 (2001)CrossRefGoogle Scholar
  9. 9.
    Luo, Z., Sheth, A., Kochut, K., Miller, J.: Exception handling in workflow systems. Applied Intelligence 13, 125–147 (2000)CrossRefGoogle Scholar
  10. 10.
    Kolodner, J.L.: Case-Based Reasoning. Morgan Kaufmann, San Francisco (1993)Google Scholar
  11. 11.
    Rinderle, S.: Schema Evolution in Process Management Systems. PhD thesis, University of Ulm (2004)Google Scholar
  12. 12.
    van der Aalst, W., van Dongen, B., Herbst, J., Maruster, L., Schimm, G., Weijters, A.: Workflow mining: A survey of issues and approaches. Data and Knowledge Engineering 27, 237–267 (2003)Google Scholar
  13. 13.
    Golani, M., Pinter, S.S.: Generating a Process Model from a Process Audit Log. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 136–151. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  14. 14.
    van Dongen, B., van der Aalst, W.: Multi-phase process mining: Building instance graphs. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, T.-W. (eds.) ER 2004. LNCS, vol. 3288, pp. 362–376. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  15. 15.
    van der Aalst, W.M.P., Song, M.: Mining social networks. uncovering interaction patterns in business processes. In: Desel, J., Pernici, B., Weske, M. (eds.) BPM 2004. LNCS, vol. 3080, pp. 244–260. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  16. 16.
    Weske, M.: Workflow management systems: Formal foundation, conceptual design, implementation aspects. University of Münster, Germany, Habil Thesis (2000)Google Scholar
  17. 17.
    Weber, B., Reichert, M., Wild, W.: Case-base maintenance for ccbr-based process evolution. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds.) ECCBR 2006. LNCS (LNAI), vol. 4106, pp. 106–120. Springer, Heidelberg (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Barbara Weber
    • 1
  • Werner Wild
    • 2
  • Markus Lauer
    • 3
  • Manfred Reichert
    • 4
  1. 1.Quality Engineering Research GroupUniversity of InnsbruckAustria
  2. 2.Evolution ConsultingInnsbruckAustria
  3. 3.Dept. Databases and Information SystemsUniversity of UlmGermany
  4. 4.Information Systems GroupUniversity of TwenteThe Netherlands

Personalised recommendations