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Integrated Process and Decision Modeling for Data-Driven Processes

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Business Process Management Workshops (BPM 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 256))

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Abstract

While business process models have been proven to represent useful artifacts for organizations, they are not suitable to represent the detailed decision logic underlying processes. Ignoring this limitation often results in complex, spaghetti-like process models for workflows driven by data-based decisions. To avoid this, decision logic should be isolated from process logic, following a separation of concerns paradigm. To support this practice, we present an approach that automatically derives process models for which this paradigm applies. It takes as input structural data-flow relations underlying a workflow and produces a process model that emphasizes the most important decisions in a process, while detailed decision logic is outsourced to dedicated decision models.

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Notes

  1. 1.

    An applicant must have the Dutch nationality (stored in i21) and may not be older than thirty (i23) in order to be eligible to receive a grant.

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Correspondence to Han van der Aa .

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van der Aa, H., Leopold, H., Batoulis, K., Weske, M., Reijers, H.A. (2016). Integrated Process and Decision Modeling for Data-Driven Processes. In: Reichert, M., Reijers, H. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 256. Springer, Cham. https://doi.org/10.1007/978-3-319-42887-1_33

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  • DOI: https://doi.org/10.1007/978-3-319-42887-1_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42886-4

  • Online ISBN: 978-3-319-42887-1

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