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A systematic literature review on IoT-aware business process modeling views, requirements and notations

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Abstract

The Internet of things has been adopted in several sectors both influencing how people work and enhancing organizations’ business processes. This resulted in the rise of relevant research topics such as IoT-aware business processes. The modeling of these processes makes it possible to better understand working scenarios and to support the adoption of model-driven development approaches for IoT-aware and process-oriented software systems. Since much research has been performed on this topic, a better awareness of the current status is needed. This paper reports a systematic literature review to develop a map on modeling notations for IoT-aware business processes. The survey mainly adopts an academic point of view, resulting in the detailed analysis of 84 research works from the leading computer science digital libraries. The output of the review is in the form of schemes and reflections. In particular, our research aims to shed light on (1) the relevant modeling views referring to different types of IoT-aware business processes; (2) the IoT requirements supported by the modeling notations; and (3) the modeling notations proposed and/or adopted to model IoT-aware business processes. Finally, our research work highlights possible future research lines needing further investigations.

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Notes

  1. It is also worth clarifying that the * character is used to include in our search any word that starts with the string of characters preceding the *. For example, by specifying business process* allows us also to include business processes; Cyber Physical System* allows us to include Cyber Physical Systems; model* allows us to include models.

  2. https://www.omg.org/spec/BPMN/2.0.

  3. https://www.sosym.org/.

  4. https://www.editorialmanager.com/infosys.

  5. https://www.mdpi.com/journal/sensors.

  6. https://www.bpm-conference.org/.

  7. https://www.servicessociety.org/scc.

  8. https://www.iot-conference.org/.

  9. Note that this list is not meant to be exhaustive, but it represents only the tools that emerged from the research works we identified as a result of the literature review process.

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Authors and Affiliations

  1. Computer Science Department, School of Science and Technology, University of Camerino, Via Madonna delle Carceri, 7, 62032, Camerino, Italy

    Ivan Compagnucci, Flavio Corradini, Fabrizio Fornari, Andrea Polini & Barbara Re

  2. Dipartimento di Statistica, Informatica, Applicazioni, Università degli Studi di Firenze, Viale Morgagni, 65, 50134, Florence, Italy

    Francesco Tiezzi

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  1. Ivan Compagnucci
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  2. Flavio Corradini
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Correspondence to Fabrizio Fornari.

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Compagnucci, I., Corradini, F., Fornari, F. et al. A systematic literature review on IoT-aware business process modeling views, requirements and notations. Softw Syst Model 22, 969–1004 (2023). https://doi.org/10.1007/s10270-022-01049-2

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