Abstract
Business Process Modeling and Notation (BPMN) is a widely used standard workflow language for modeling business processes. However, there is a growing need to integrate data and process models to enable a more holistic view of business processes to reducing implementation time through a clear understanding of the mode, and BPMN has limitations in representing data-related concepts. To address this, we propose an extension to BPMN called DataFlow BPMN (DF-BPMN), which is a low-coding visual solution, for modeling and analyzing the relationship between process and data. Low-code is a growing development approach supported by many platforms. It fills the gap between business and developer. Indeed, it enables quick generation and delivery of business applications with minimum effort. We introduce the Activity DataFlow, an extension of activity that allows zooming into the data manipulated within it, which enable different levels of granularity: control-flow perspective and data perspective. Additionally, we developed a tool for creating a model with the DF-BPMN. Our approach has been evaluated quantitatively and qualitatively, and the results demonstrate that DF-BPMN offers significant advantages over BPMN.
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van der Aalst, W.M.P.: Object-centric process mining: dealing with divergence and convergence in event data. In: Software Engineering and Formal Methods - 17th International Conference, SEFM (2019)
van der Aalst, W.M.P., van Hee, K.M.: Workflow management: models, methods, and systems. Cooperative information systems (2002)
Aguilar-Savén, R.S.: Business process modelling: review and framework. Int. J. Prod. Econ. 90, 129–149 (2004)
Combi, C., Oliboni, B., Weske, M., Zerbato, F.: Conceptual modeling of processes and data: Connecting different perspectives. In: Conceptual Modeling - 37th International Conference, ER (2018)
Field, A.: Discovering statistics using IBM SPSS statistics. SAGE (2013)
Ghilardi, S., Gianola, A., Montali, M., Rivkin, A.: Delta-BPMN: a concrete language and verifier for data-aware BPMN. In: Business Process Management - 19th International Conference, BPM 2021 (2021)
De Giacomo, G., Oriol, X., Estañol, M., Teniente, E.: Linking data and BPMN processes to achieve executable models. In: Dubois, E., Pohl, K. (eds.) CAiSE 2017. LNCS, vol. 10253, pp. 612–628. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59536-8_38
OMG: Business Process Model and Notation (BPMN), Version 2.0 (2011). http://www.omg.org/spec/BPMN/2.0
OMG: OMG Unified Modeling Language (OMG UML), Superstructure, Version 2.4.1 (2011). http://www.omg.org/spec/UML/2.4.1
Sahay, A., Di Ruscio, D., Iovino, L., Pierantonio, A.: Analyzing business process management capabilities of low-code development platforms. Practice and Experience, Software (2022)
Zadeh, L.A.: Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy sets and systems (1997)
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Nour Eldin, A., Baudot, J., Gaaloul, W. (2023). Zooming in for Clarity: Towards Low-Code Modeling for Activity Data Flow. In: Di Francescomarino, C., Burattin, A., Janiesch, C., Sadiq, S. (eds) Business Process Management Forum. BPM 2023. Lecture Notes in Business Information Processing, vol 490. Springer, Cham. https://doi.org/10.1007/978-3-031-41623-1_16
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DOI: https://doi.org/10.1007/978-3-031-41623-1_16
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