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Sketching Process Models by Mining Participant Stories

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Book cover Business Process Management Forum (BPM 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 360))

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Abstract

Producing initial process models currently requires gathering knowledge from multiple process participants and using modeling tools to produce a visual representation. With traditional tools this can require significant effort and thus delay the feedback cycle where the initial model is validated and refined based on participants’ feedback. In this paper we propose a novel approach for process model sketching by applying existing process mining techniques to a sample process log obtained directly from the process participants. To that end, we specify a simple natural language-like domain-specific language to represent process traces or fragments of process traces. We also illustrate the architecture of a live modeling tool, the Sketch Miner, implementing the proposed approach. The tool produces a draft visual representation of the control flow which is updated in real-time as the traces are written down. The draft model generated by the tool can later be refined and completed by the business analysts using traditional tools.

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Notes

  1. 1.

    https://ballerina.io.

  2. 2.

    http://staruml.io.

  3. 3.

    http://plantuml.com/activity-diagram-beta.

  4. 4.

    https://www.oasis-open.org/committees/download.php/23964/wsbpel-v2.0-primer.htm.

  5. 5.

    http://www.xes-standard.org.

  6. 6.

    https://github.com/dagrejs/dagre-d3.

  7. 7.

    design.inf.usi.ch/sketch-miner.

  8. 8.

    https://www.signavio.com.

  9. 9.

    https://www.signavio.com/post/introducing-effektif/.

References

  1. Alotaibi, Y., Liu, F.: Survey of business process management: challenges and solutions. Enterp. Inf. Syst. 11(8), 1119–1153 (2017)

    Article  Google Scholar 

  2. Bandara, W., Gable, G.G., Rosemann, M.: Factors and measures of business process modelling: model building through a multiple case study. Eur. J. Inf. Syst. 14(4), 347–360 (2005)

    Article  Google Scholar 

  3. Bergenthum, R., Desel, J., Mauser, S., Lorenz, R.: Construction of process models from example runs. In: Jensen, K., van der Aalst, W.M.P. (eds.) Transactions on Petri Nets and Other Models of Concurrency II. LNCS, vol. 5460, pp. 243–259. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-00899-3_14

    Chapter  MATH  Google Scholar 

  4. Buettner, R.: Analyzing mental workload states on the basis of the pupillary hippus. NeuroIS 14, 52 (2014)

    Google Scholar 

  5. Damij, N.: Business process modelling using diagrammatic and tabular techniques. Bus. Process Manag. J. 13(1), 70–90 (2007)

    Article  Google Scholar 

  6. DeLeeuw, K.E., Mayer, R.E.: A comparison of three measures of cognitive load: evidence for separable measures of intrinsic, extraneous, and germane load. J. Educ. Psychol. 100(1), 223 (2008)

    Article  Google Scholar 

  7. Di Francescomarino, C., Tonella, P.: Supporting ontology-based semantic annotation of business processes with automated suggestions. In: Halpin, T., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Soffer, P., Ukor, R. (eds.) BPMDS/EMMSAD -2009. LNBIP, vol. 29, pp. 211–223. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01862-6_18

    Chapter  Google Scholar 

  8. Dixit, P.M., Verbeek, H.M.W., Buijs, J.C.A.M., van der Aalst, W.M.P.: Interactive data-driven process model construction. In: Trujillo, J.C., et al. (eds.) ER 2018. LNCS, vol. 11157, pp. 251–265. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00847-5_19

    Chapter  Google Scholar 

  9. Fahland, D.: Oclets – scenario-based modeling with petri nets. In: Franceschinis, G., Wolf, K. (eds.) PETRI NETS 2009. LNCS, vol. 5606, pp. 223–242. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02424-5_14

    Chapter  MATH  Google Scholar 

  10. Freitas, A., et al.: Querying heterogeneous datasets on the linked data web: challenges, approaches, and trends. IEEE Internet Comput. 16(1), 24–33 (2012)

    Article  Google Scholar 

  11. Freund, N.: Development of a text-based representation of BPMN models. Master’s thesis, Leibniz Universität Hannover, Hannover, Germany (2018)

    Google Scholar 

  12. Grönninger, H., Krahn, H., et al.: Textbased modeling. In: Proceedings of the 4th International Workshop on Software Language Engineering (2007)

    Google Scholar 

  13. Gruhn, V., Laue, R.: Reducing the cognitive complexity of business process models. In: 2009 8th IEEE International Conference on Cognitive Informatics, pp. 339–345. IEEE (2009)

    Google Scholar 

  14. Havey, M.: Keeping BPM simple for business users: power users beware. BPTrends, January 2006

    Google Scholar 

  15. Luftman, J.: Assessing it/business alignment. Inf. Syst. Manag. 20(4), 9–15 (2003)

    Article  Google Scholar 

  16. Masseglia, F., Poncelet, P., et al.: Incremental mining of sequential patterns in large databases. Data Knowl. Eng. 46(1), 97–121 (2003)

    Article  Google Scholar 

  17. Nitzsche, J., van Lessen, T., Karastoyanova, D., Leymann, F.: BPELlight. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 214–229. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-75183-0_16

    Chapter  Google Scholar 

  18. Ottensooser, A., Fekete, A., et al.: Making sense of business process descriptions: an experimental comparison of graphical and textual notations. J. Syst. Softw. 85(3), 596–606 (2012)

    Article  Google Scholar 

  19. Seifermann, S., Groenda, H.: Survey on the applicability of textual notations for the unified modeling language. In: Hammoudi, S., Pires, L.F., Selic, B., Desfray, P. (eds.) MODELSWARD 2016. CCIS, vol. 692, pp. 3–24. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66302-9_1

    Chapter  Google Scholar 

  20. Slaats, T., Debois, S., Hildebrandt, T.: Open to change: a theory for iterative test-driven modelling. In: Weske, M., Montali, M., Weber, I., vom Brocke, J. (eds.) BPM 2018. LNCS, vol. 11080, pp. 31–47. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98648-7_3

    Chapter  Google Scholar 

  21. Sweller, J.: Element interactivity and intrinsic, extraneous, and germane cognitive load. Educ. Psychol. Rev. 22(2), 123–138 (2010)

    Article  Google Scholar 

  22. van der Aalst, W.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-19345-3

    Book  MATH  Google Scholar 

  23. Zugal, S., Pinggera, J., Weber, B.: Creating declarative process models using test driven modeling suite. In: Nurcan, S. (ed.) CAiSE Forum 2011. LNBIP, vol. 107, pp. 16–32. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-29749-6_2

    Chapter  Google Scholar 

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Authors and Affiliations

  1. Software Institute, USI, Lugano, Switzerland

    Ana Ivanchikj & Cesare Pautasso

Authors
  1. Ana Ivanchikj
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  2. Cesare Pautasso
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Corresponding author

Correspondence to Ana Ivanchikj .

Editor information

Editors and Affiliations

  1. University of Copenhagen, Copenhagen, Denmark

    Thomas Hildebrandt

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Boudewijn F. van Dongen

  3. University of Bayreuth, Bayreuth, Germany

    Maximilian Röglinger

  4. Vienna University of Economics and Business, Vienna, Austria

    Jan Mendling

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Ivanchikj, A., Pautasso, C. (2019). Sketching Process Models by Mining Participant Stories. In: Hildebrandt, T., van Dongen, B., Röglinger, M., Mendling, J. (eds) Business Process Management Forum. BPM 2019. Lecture Notes in Business Information Processing, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-030-26643-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-26643-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26642-4

  • Online ISBN: 978-3-030-26643-1

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