@article{BazhenovaZerbatoOlibonietal.2019,
  author    = {Bazhenova, Ekaterina and Zerbato, Francesca and Oliboni, Barbara and Weske, Mathias},
  title     = {From BPMN process models to DMN decision models},
  series = {Information systems},
  volume    = {83},
  journal   = {Information systems},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0306-4379},
  doi       = {10.1016/j.is.2019.02.001},
  pages     = {69 -- 88},
  year      = {2019},
  abstract  = {The interplay between process and decision models plays a crucial role in business process management, as decisions may be based on running processes and affect process outcomes. Often process models include decisions that are encoded through process control flow structures and data flow elements, thus reducing process model maintainability. The Decision Model and Notation (DMN) was proposed to achieve separation of concerns and to possibly complement the Business Process Model and Notation (BPMN) for designing decisions related to process models. Nevertheless, deriving decision models from process models remains challenging, especially when the same data underlie both process and decision models. In this paper, we explore how and to which extent the data modeled in BPMN processes and used for decision-making may be represented in the corresponding DMN decision models. To this end, we identify a set of patterns that capture possible representations of data in BPMN processes and that can be used to guide the derivation of decision models related to existing process models. Throughout the paper we refer to real-world healthcare processes to show the applicability of the proposed approach. (C) 2019 Elsevier Ltd. All rights reserved.},
  language  = {en}
}