Abstract
New modeling approaches appeared in the last decade based on the premise that process structures in data-intensive landscapes are pushed by data-driven events. However, since emergent approaches as artifact-centered, data-driven, product-based and document-based modeling cover reduced subsets of all data-related needs, they have a limited practical impact [13]. This work structures the set of requirements to model responsive data-intensive systems, studies the emergent object-centered approaches to retrieve a set of principles and, finally, defines a solution direction, centered in expressive object models and in model transformations, for the support of the introduced principles.
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Henriques, R., Rito Silva, A. (2011). Object-Centered Process Modeling: Principles to Model Data-Intensive Systems. In: zur Muehlen, M., Su, J. (eds) Business Process Management Workshops. BPM 2010. Lecture Notes in Business Information Processing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20511-8_62
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DOI: https://doi.org/10.1007/978-3-642-20511-8_62
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