Integrated process and decision modeling for data-driven processes

Conferentiebijdrage

van der Aa, J.H., Leopold, H., Batoulis, K., Weske, M.H. & Reijers, H.A. (2016). Integrated process and decision modeling for data-driven processes. In M. Reichert & H.A. Reijers (Eds.), Business Process Management Workshops (pp. 405-417). (Lecture Notes in Business Information Processing, No. 256). Dordrecht: Springer. In Scopus Cited 3 times.

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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 dataflow 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.