Abstract
Case management is increasingly used to capture and enact flexible, knowledge-intensive processes in organizations. None of the existing case management approaches provides a methodology for case model elicitation and modeling. In this contribution, three modeling methods for fragment-based case management are presented: one which focuses on the control-flow view, the process-first method, one which has a data-centric view, the object lifecycle-first method, and one which focuses on the goals of a case, the goals-first method. Following the design science process, each of the three methods was evaluated in two case modeling workshops with two different stakeholder groups (PhD students and secretaries), resulting in a total of six workshops. All participants were novices in case management and most of them as well in process modeling. The results indicate that the process-first method can be quickly learned by novices and it might be useful for scenarios where the focus is on the main process with some degree of flexibility. The object lifecycle-first method yields more flexible and consistent case models, but requires a higher initial modeling effort, as the lifecycle of the main case object has to be designed first. The goals-first method leads to a detailed and consistent case model and additionally provides, by means of the defined goals, a checklist what needs to be done for a case. This method requires in addition to the process modeling notation another model type, the goal hierarchy, and therefore is less suited for novice modelers, as found by the workshop results.
Similar content being viewed by others
Notes
Methodology is defined as study of the methods that are applied in a field, here case management.
The workshops were scheduled with three participants each. Unfortunately, however, two participants dropped out on such short notice that we could not find a replacement.
In the workshop with PhD students, the moderator remarks around the 45 min mark that the modeling of goals should have been explained more thoroughly in the teaching phase.
References
Antunes, P., Simões, D., Carriço, L., Pino, J.A.: An end-user approach to business process modeling. J. Netw. Comput. Appl. 36(6), 1466–1479 (2013)
Beyer, J., Kuhn, P., Hewelt, M., Mandal, S., Weske, M.: Unicorn meets chimera: integrating external events into case management. In: Proceedings of the BPM Demo Track, CEUR Workshop Proceedings, vol. 1789, pp. 67–72. CEUR-WS.org (2016)
Bhattacharya, K., Hull, R., Su, J.: A data-centric design methodology for business processes. In: Handbook of Research on Business Process Modeling. IGI Global, pp 503–531 (2009). https://doi.org/10.4018/978-1-60566-288-6.ch023
Ciccio, C.D., Marrella, A., Russo, A.: Knowledge-intensive processes: characteristics, requirements and analysis of contemporary approaches. J. Data Semant. 4, 29–57 (2014)
Claes, J., Vanderfeesten, I., Gailly, F., Grefen, P., Poels, G.: The structured process modeling theory (SPMT) a cognitive view on why and how modelers benefit from structuring the process of process modeling. Inf. Syst. Front. 17(6), 1401–1425 (2015). https://doi.org/10.1007/s10796-015-9585-y
Claes, J., Vanderfeesten, I., Gailly, F., Grefen, P., Poels, G.: Towards a structured process modeling method: Building the prescriptive modeling theory (2016)
Combi, C., Oliboni, B., Zardini, A., Zerbato, F.: A methodological framework for the integrated design of decision-intensive care pathways—an application to the management of COPD patients. J. Healthc. Inform. Res. 1(2), 157–217 (2017). https://doi.org/10.1007/s41666-017-0007-4
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989). https://doi.org/10.2307/249008
Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management, vol. 1. Springer, Berlin (2013)
Felder, R.M., Silverman, L.K.: Learning and teaching styles in engineering education. Eng. Educ. 78, 674–681 (1988)
Front, A., Rieu, D., Santorum, M., Movahedian, F.: A participative end-user method for multi-perspective business process elicitation and improvement. Softw. Syst. Model. 16(3), 691–714 (2017)
Gonzalez-Lopez, F., Pufahl, L.: A landscape for case models. In: Reinhartz-Berger, I., Zdravkovic, J., Gulden, J., Schmidt, R. (eds.) Enterprise, Business-Process and Information Systems Modeling, pp. 87–102. Springer, Berlin (2019)
Haarmann, S., Podlesny, N., Hewelt, M., Meyer, A., Weske, M.: Production case management: a prototypical process engine to execute flexible business processes. In: Proceedings of the BPM Demo Session, (BPM 2015), CEUR Workshop Proceedings, vol. 1418, pp. 110–114. CEUR-WS.org (2015)
Hewelt, M., Weske, M.: A hybrid approach for flexible case modeling and execution. In: Business Process Management Forum - BPM Forum 2016, Rio de Janeiro, Brazil, September 18–22, 2016, Proceedings, Lecture Notes in Business Information Processing (LNBIP), vol. 260, pp. 38–54. Springer (2016). https://doi.org/10.1007/978-3-319-45468-9_3
Hewelt, M., Wolff, F., Mandal, S., Pufahl, L., Weske, M.: Towards a methodology for case model elicitation. In: Gulden, J., Reinhartz-Berger, I., Schmidt, R., Guerreiro, S., Guédria, W., Bera, P. (eds.) Enterprise, Business-Process and Information Systems Modeling, Lecture Notes in Business Information Processing, vol. 318, pp. 181–195. Springer (2018). https://doi.org/10.1007/978-3-319-91704-7_12
Künzle, V., Reichert, M.: PHILharmonicFlows: towards a framework for object-aware process management. J. Softw. Maint. Evolut. Res. Pract. 23(4), 205–244 (2011). https://doi.org/10.1002/smr.524
Kueng, P., Kawalek, P.: Goal-based business process models: creation and evaluation. Business Process Manag. J. 3, 17–38 (1997)
Lapouchnian, A.: Goal-oriented requirements engineering: an overview of the current research. Technical report, Department of Computer Science, University of Toronto, Toronto, Canada (2005)
Lapouchnian, A., Yu, Y., Mylopoulos, J.: Requirements-driven design and configuration management of business processes. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) Business Process Management, pp. 246–261. Springer, Berlin (2007)
Lübbe, A.: Tangible business process modeling. Dissertation, Universität Potsdam (2011)
Lindland, O.I., Sindre, G., Sølvberg, A.: Understanding quality in conceptual modeling. IEEE Softw. 11(2), 42–49 (1994). https://doi.org/10.1109/52.268955
Marin, M.A., Hauder, M., Matthes, F.: Case Management: An Evaluation of Existing Approaches for Knowledge-Intensive Processes. In: Business Process Management Workshops, Lecture Notes in Business Information Processing. Springer (2015)
Mendling, J., Reijers, H.A., van der Aalst, W.M.P.: Seven process modeling guidelines (7pmg). Inf. Softw. Technol. 52(2), 127–136 (2010). https://doi.org/10.1016/j.infsof.2009.08.004
Meyer, A., Weske, M.: Activity-centric and artifact-centric process model roundtrip. In: International Conference on Business Process Management, pp. 167–181. Springer (2013)
Moody, D.: The Method Evaluation Model: A Theoretical Model for Validating Information Systems Design Methods. ECIS 2003 Proceedings (2003)
Nigam, A., Caswell, N.S.: Business artifacts: an approach to operational specification. IBM Syst. J. 42(3), 428–445 (2003). https://doi.org/10.1147/sj.423.0428
OMG: Business Process Model and Notation (BPMN), Version 2.0. http://www.omg.org/spec/BPMN/2.0/ (2011)
OMG: Case Management Model and Notation (CMMN) 1.0. standard formal/2014-05-05, Object Management Group (2014)
Oppl, S., Alexopoulou, N.: Linking natural modeling to techno-centric modeling for the active involvement of process participants in business process design. Int. J. Inf. Syst. Model. Design (IJISMD) 7(2), 1–30 (2016)
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24(3), 45–77 (2007)
Pinggera, J., Soffer, P., Fahland, D., Weidlich, M., Zugal, S., Weber, B., Reijers, H.A., Mendling, J.: Styles in business process modeling: an exploration and a model. Softw. Syst. Model. 14(3), 1055–1080 (2015). https://doi.org/10.1007/s10270-013-0349-1
Rosemann, M., Hjalmarsson, A., Lind, M., Recker, J.C.: Four facets of a process modeling facilitator. In: Proceedings of the 32nd International Conference on Information Systems, pp. 1–16. Association for Information Systems (2011)
Sedrakyan, G., Snoeck, M., Weerdt, J.D.: Process mining analysis of conceptual modeling behavior of novices—empirical study using jmermaid modeling and experimental logging environment. Comput. Human Behavior 41, 486–503 (2014)
Turetken, O., Demirors, O.: Plural: a decentralized business process modeling method. Inf. Manag. 48(6), 235–247 (2011)
van der Aalst, W.M.P.: Process Mining: Data Science in Action, 2nd edn. Springer, Berlin (2016)
van der Aalst, W.M.P., Barthelmess, P., Ellis, C., Wainer, J.: Proclets: a framework for lightweight interacting workflow processes. Int. J. Coop. Inf. Syst. 10(04), 443–481 (2001)
van der Aalst, W.M.P., Weske, M., Grünbauer, D.: Case handling: a new paradigm for business process support. Data Knowl. Eng. 53(2), 129–162 (2005). https://doi.org/10.1016/j.datak.2004.07.003
Weske, M.: Business Process Management: Concepts, Languages, Architectures, 2nd edn. Springer, Berlin (2012)
Wieringa, R.J.: Design Science Methodology for Information Systems and Software Engineering. Springer, Berlin (2014)
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by Rainer Schmidt and Jens Gulden.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Hewelt, M., Pufahl, L., Mandal, S. et al. Toward a methodology for case modeling. Softw Syst Model 19, 1367–1393 (2020). https://doi.org/10.1007/s10270-019-00766-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10270-019-00766-5