Quality Evaluation of a DSML Supporting Model-Driven IoT Development for Air Conditioning Facilities
2024 (English)In: Advances in Enterprise Engineering XVII: 13th Enterprise Design and Engineering Working Conference, EDEWC 2023, Vienna, Austria, November 28–29, 2023, Revised Selected Papers / [ed] M. M. Mandelburger, S. Guerreiro, C. Griffo, D. Aveiro, H. A. Proper, M. Schnellmann, Springer, 2024, p. 52-72Conference paper, Published paper (Refereed)
Abstract [en]
Model-Driven Development (MDD) is considered an effective technique for Internet of Things (IoT) application development. Our observation is that existing model-based approaches for IoT solutions focus on the software and systems perspective and show a need for more integration with organizational and business model aspects. Therefore, we developed a method and tool support for developing IoT applications in the field of air conditioning facilities. In this work, we applied quality criteria to evaluate the included Domain-Specific Modeling Language (DSML). To practically validate the modeling language as such and also the way it can be used and supported by the tool, we performed a real-world use case. The main contributions of this paper are a quality evaluation of the DSML and the tool support and lessons learned from both.
Place, publisher, year, edition, pages
Springer, 2024. p. 52-72
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 510
Keywords [en]
Domain-Specific Modeling Language, Internet of Things, MIoTA, Model-Driven Development, Modeling Method, Notation Evaluation, Quality Evaluation, SEQUAL, Air conditioning, Embedded systems, High level languages, Modeling languages, Quality control, Specification languages, Domain specific modeling languages, Domain-Specific Modelling Languages, Model method, Model-driven, Model-driven-development, Tool support
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-64417DOI: 10.1007/978-3-031-58935-5_4Scopus ID: 2-s2.0-85193253260ISBN: 978-3-031-58934-8 (print)ISBN: 978-3-031-58935-5 (electronic)OAI: oai:DiVA.org:hj-64417DiVA, id: diva2:1862952
Conference
EDEWC 2023, Vienna, Austria, November 28–29, 2023
2024-05-302024-05-302024-05-30Bibliographically approved