@misc{BazhenovaZerbatoWeske2018,
  author    = {Bazhenova, Ekaterina and Zerbato, Francesca and Weske, Mathias},
  title     = {Data-Centric Extraction of DMN Decision Models from BPMN Process Models},
  series = {Business Process Management Workshops},
  volume    = {308},
  journal   = {Business Process Management Workshops},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-319-74030-0},
  issn      = {1865-1348},
  doi       = {10.1007/978-3-319-74030-0_43},
  pages     = {542 -- 555},
  year      = {2018},
  abstract  = {Operational decisions in business processes can be modeled by using the Decision Model and Notation (DMN). The complementary use of DMN for decision modeling and of the Business Process Model and Notation (BPMN) for process design realizes the separation of concerns principle. For supporting separation of concerns during the design phase, it is crucial to understand which aspects of decision-making enclosed in a process model should be captured by a dedicated decision model. Whereas existing work focuses on the extraction of decision models from process control flow, the connection of process-related data and decision models is still unexplored. In this paper, we investigate how process-related data used for making decisions can be represented in process models and we distinguish a set of BPMN patterns capturing such information. Then, we provide a formal mapping of the identified BPMN patterns to corresponding DMN models and apply our approach to a real-world healthcare process.},
  language  = {en}
}
@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}
}
@article{PufahlWeske2019,
  author    = {Pufahl, Luise and Weske, Mathias},
  title     = {Batch activity: enhancing business process modeling and enactment with batch processing},
  series = {Computing},
  volume    = {101},
  journal   = {Computing},
  number    = {12},
  publisher = {Springer},
  address   = {Wien},
  issn      = {0010-485X},
  doi       = {10.1007/s00607-019-00717-4},
  pages     = {1909 -- 1933},
  year      = {2019},
  abstract  = {Organizations strive for efficiency in their business processes by process improvement and automation. Business process management (BPM) supports these efforts by capturing business processes in process models serving as blueprint for a number of process instances. In BPM, process instances are typically considered running independently of each other. However, batch processing-the collectively execution of several instances at specific process activities-is a common phenomenon in operational processes to reduce cost or time. Currently, batch processing is organized manually or hard-coded in software. For allowing stakeholders to explicitly represent their batch configurations in process models and their automatic execution, this paper provides a concept for batch activities and describes the corresponding execution semantics. The batch activity concept is evaluated in a two-step approach: a prototypical implementation in an existing BPM System proves its feasibility. Additionally, batch activities are applied to different use cases in a simulated environment. Its application implies cost-savings when a suitable batch configuration is selected. The batch activity concept contributes to practice by allowing the specification of batch work in process models and their automatic execution, and to research by extending the existing process modeling concepts.},
  language  = {en}
}