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Guiding the Creation of Choreographed Processes with Multiple Instances Based on Data Models

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Business Process Management Workshops (BPM 2016)

Abstract

Choreography in business processes is used as a mechanism to communicate various organizations, by providing a method to isolate the behaviour of each part and keeping the privacy of their data. Nevertheless, choreography diagrams can also be necessary inside an organization when a single instance of a process needs to interact and be synchronized with multiple instances of another process simultaneously. The description, by business experts, and the implementation, by developers, of these choreographed models are highly complex, especially when the activities involved in the processes exchange various data objects and with different cardinalities. We propose the automatic detection of the synchronization points, when a choreographed process model is needed. The choreography will be derived from the analysis of the process model, data objects consumed and generated through the process, and the data conceptual model that relates the data objects. A graphical tool has been developed to support where the synchronization points must be included, helping to decide about the patterns that describe how a single model can be transformed into a choreographed model.

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Acknowledgement

This work has been partially funded by the Ministry of Science and Technology of Spain (TIN2015-63502-C3-2-R) and the European Regional Development Fund (ERDF/FEDER). We would like to thank SACU of the University of Seville for the valuable information that has contributed towards the development of the ideas in this paper.

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Correspondence to María Teresa Gómez-López .

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Gómez-López, M.T., Pérez-Álvarez, J.M., Varela-Vaca, A.J., Gasca, R.M. (2017). Guiding the Creation of Choreographed Processes with Multiple Instances Based on Data Models. In: Dumas, M., Fantinato, M. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-319-58457-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-58457-7_18

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