@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}
}
@misc{PufahlWongWeske2018,
  author    = {Pufahl, Luise and Wong, Tsun Yin and Weske, Mathias},
  title     = {Design of an extensible BPMN process simulator},
  series = {Business Process Management Workshops (BPM 2017)},
  volume    = {308},
  journal   = {Business Process Management Workshops (BPM 2017)},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-319-74030-0},
  issn      = {1865-1348},
  doi       = {10.1007/978-3-319-74030-0_62},
  pages     = {782 -- 795},
  year      = {2018},
  abstract  = {Business process simulation is an important means for quantitative analysis of a business process and to compare different process alternatives. With the Business Process Model and Notation (BPMN) being the state-of-the-art language for the graphical representation of business processes, many existing process simulators support already the simulation of BPMN diagrams. However, they do not provide well-defined interfaces to integrate new concepts in the simulation environment. In this work, we present the design and architecture of a proof-of-concept implementation of an open and extensible BPMN process simulator. It also supports the simulation of multiple BPMN processes at a time and relies on the building blocks of the well-founded discrete event simulation. The extensibility is assured by a plug-in concept. Its feasibility is demonstrated by extensions supporting new BPMN concepts, such as the simulation of business rule activities referencing decision models and batch activities.},
  language  = {en}
}
@misc{HaarmannBatoulisNikajetal.2018,
  author    = {Haarmann, Stephan and Batoulis, Kimon and Nikaj, Adriatik and Weske, Mathias},
  title     = {DMN Decision Execution on the Ethereum Blockchain},
  series = {Advanced Information Systems Engineering, CAISE 2018},
  volume    = {10816},
  journal   = {Advanced Information Systems Engineering, CAISE 2018},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-91563-0},
  issn      = {0302-9743},
  doi       = {10.1007/978-3-319-91563-0_20},
  pages     = {327 -- 341},
  year      = {2018},
  abstract  = {Recently blockchain technology has been introduced to execute interacting business processes in a secure and transparent way. While the foundations for process enactment on blockchain have been researched, the execution of decisions on blockchain has not been addressed yet. In this paper we argue that decisions are an essential aspect of interacting business processes, and, therefore, also need to be executed on blockchain. The immutable representation of decision logic can be used by the interacting processes, so that decision taking will be more secure, more transparent, and better auditable. The approach is based on a mapping of the DMN language S-FEEL to Solidity code to be run on the Ethereum blockchain. The work is evaluated by a proof-of-concept prototype and an empirical cost evaluation.},
  language  = {en}
}
@misc{WeskeSadiqSofferetal.2016,
  author    = {Weske, Mathias and Sadiq, Shazia and Soffer, Pnina and Voelzer, Hagen},
  title     = {Preface to BPM 2014},
  series = {Information systems},
  volume    = {56},
  journal   = {Information systems},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0306-4379},
  doi       = {10.1016/j.is.2015.09.006},
  pages     = {233 -- 234},
  year      = {2016},
  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}
}