Abstract
Building a process model is a natural part of the requirements engineering (RE) when creating requirements for a computerized system/service to support a business process. When the process in question is workflowable (i.e. a process in which the order and the flow of tasks/ operations/activities can be predefined), there are plenty of modeling techniques, notations and tools that can help in this undertaking. These techniques, however, are of little use for discovering requirements for support of non-workflowable processes in which the information artifacts created in the process (e.g. reports, lecture slides, budget documents) are of more importance than the flow of tasks/operations/activities. Other types of techniques, notations and tools are required in this case. This paper reports on a project of using a data-centric modeling approach supported by a computerized tool in RE. The goal of the project was to test whether the approach could be useful for the task of discovering requirements on a computerized system/service supporting the process, and which and how much of requirements could be captured using it. The process used in the test is a process of course preparation in the authors’ own department. The paper reports on the environment in which the project has been conducted, results achieved, and lessons learned.
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References
Alexander, Dukic, L.B.: Discovering Requirements: How to Specify Products and Services. Wiley, UK (2009)
Bider, I., Johannesson, P., Perjons, E.: Do Workflow-Based Systems Satisfy the Demands of the Agile Enterprise of the Future? In: La Rosa, M., Soffer, P. (eds.) BPM 2012 Workshops. LNBIP, vol. 132, pp. 59–64. Springer, Heidelberg (2013)
Cohn, D., Hull, R.: Business artifacts: A data-centric approach to modeling business operations and processes. IEEE Data Eng. Bull. 32(3), 3–9 (2009)
Müller, D., Reichert, M., Herbst, J.: Data-driven modeling and coordination of large process structures. In: Meersman, R., Tari, Z. (eds.) OTM 2007, Part I. LNCS, vol. 4803, pp. 131–149. Springer, Heidelberg (2007)
Bider, I.: State-oriented Business Process Modeling: Principles, Theory and Practice. PhD thesis, Royal Institute of Technology, Stockholm (2002)
Swenson, K.D. (ed.): Mastering the Unpredictable: How Adaptive Case Management Will Revolutionize the Way That Knowledge Workers Get Things Done. Meghan-Kiffer Press, Tampa (2010)
iPB Reference Manual. On-line documentation, http://docs.ibissoft.se/node/3
Bider, I., Johannesson, P., Perjons, E.: In Search of the Holy Grail: Integrating social software with BPM. Experience Report. In: Bider, I., Halpin, T., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Ukor, R. (eds.) BPMDS 2010 and EMMSAD 2010. LNBIP, vol. 50, pp. 1–13. Springer, Heidelberg (2010)
Jin, X., Wei, H.: Scenario-based comparison and evaluation: Issues of current business process modeling languages. Proc. Inst. Mech. Eng. Pt. B: J. Eng. Manuf. 220(9), 1527–1538 (2006)
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Bider, I., Perjons, E., Dar, Z.R. (2013). Using Data-Centric Business Process Modeling for Discovering Requirements for Business Process Support Systems: Experience Report. In: Nurcan, S., et al. Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2013 2013. Lecture Notes in Business Information Processing, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38484-4_6
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DOI: https://doi.org/10.1007/978-3-642-38484-4_6
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