BPMN4SGA: A BPMN extension for smart glasses applications to enable process visualisations

Autor(en): Vogel, J.
Zobel, B.
Jannaber, S.
Thomas, O. 
Herausgeber: Czarnecki, C.
Brockmann, C.
Sultanow, E.
Koschmider, A.
Selzer, A.
Stichwörter: BPMN extension; Domain specific; Extension requirements; Mobile Technology; Model driven architectures; Model-driven software development; Modeling languages; Process documentation; Process ontologies; Smart glass, Glass; Smart glasses; Software architecture; Software design, Business Process
Erscheinungsdatum: 2018
Herausgeber: Gesellschaft fur Informatik (GI)
Enthalten in: Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
Band: 285
Startseite: 259
Seitenende: 273
Zusammenfassung: 
New mobile technologies such as smart glasses cannot be described adequately with standard process modelling languages. This leads to insufficient process documentation, hindering a correct integration of these technologies in business processes. In this paper, we focus explicitly on smart glasses-based processes. We analyse the domain of smart glasses-based processes and develop a smart glasses-based process ontology. Furthermore, we investigate smart glasses-based process concepts and BPMN concepts semantically. Thereby, extension requirements for a new BPMN extension are derived in the domain of smart glasses, using the method for domain-specific development of BPMN extensions. In addition, we include model-driven software development concepts. Finally, we present a part of the graphical syntax with an exemplary smart glasses-based process and the connection with the model-driven architecture. © 2018 Gesellschaft fur Informatik (GI). All rights reserved.
Beschreibung: 
Conference of Workshops der Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, INFORMATIK 2018 - Workshop on Architecture, Processes, Safety and Sustainability, Informatics 2018 ; Conference Date: 26 September 2018 Through 27 September 2018; Conference Code:158763
ISBN: 9783885796794
ISSN: 16175468
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075477956&partnerID=40&md5=ff2312cfeef5a2efc727c6ffc3dcecb2

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