@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}
}
@misc{CombiOliboniWeskeetal.2018,
  author    = {Combi, Carlo and Oliboni, Barbara and Weske, Mathias and Zerbato, Francesca},
  title     = {Conceptual modeling of processes and data},
  series = {Conceptual Modeling, ER 2018},
  volume    = {11157},
  journal   = {Conceptual Modeling, ER 2018},
  editor    = {Trujillo, JC Davis},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-00847-5},
  issn      = {0302-9743},
  doi       = {10.1007/978-3-030-00847-5_18},
  pages     = {236 -- 250},
  year      = {2018},
  abstract  = {Business processes constantly generate, manipulate, and consume data that are managed by organizational databases. Despite being central to process modeling and execution, the link between processes and data is often handled by developers when the process is implemented, thus leaving the connection unexplored during the conceptual design. In this paper, we introduce, formalize, and evaluate a novel conceptual view that bridges the gap between process and data models, and show some kinds of interesting insights that can be derived from this novel proposal.},
  language  = {en}
}
@article{CombiOliboniWeskeetal.2021,
  author    = {Combi, Carlo and Oliboni, Barbara and Weske, Mathias and Zerbato, Francesca},
  title     = {Seamless conceptual modeling of processes with transactional and analytical data},
  series = {Data \& knowledge engineering},
  volume    = {134},
  journal   = {Data \& knowledge engineering},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0169-023X},
  doi       = {10.1016/j.datak.2021.101895},
  pages     = {14},
  year      = {2021},
  abstract  = {In the field of Business Process Management (BPM), modeling business processes and related data is a critical issue since process activities need to manage data stored in databases. The connection between processes and data is usually handled at the implementation level, even if modeling both processes and data at the conceptual level should help designers in improving business process models and identifying requirements for implementation. Especially in data -and decision-intensive contexts, business process activities need to access data stored both in databases and data warehouses. In this paper, we complete our approach for defining a novel conceptual view that bridges process activities and data. The proposed approach allows the designer to model the connection between business processes and database models and define the operations to perform, providing interesting insights on the overall connected perspective and hints for identifying activities that are crucial for decision support.},
  language  = {en}
}