Comparison of general-purpose and domain-specific modeling languages in the IoT domain: A case study from the OMiLAB community

Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023)

Themenheft

DOI der Originalpublikation

URI

https://irf.fhnw.ch/handle/11654/48431
https://doi.org/10.26041/fhnw-11146

Link

https://ceur-ws.org/Vol-3514/paper85.pdf

Reihe / Serie

Reihennummer

Jahrgang / Band

Ausgabe / Nummer

Seiten / Dauer

145-157

Patentnummer

Verlag / Herausgebende Institution

Sun SITE, Informatik V, RWTH Aachen

Verlagsort / Veranstaltungsort

Aachen

Auflage

Version

Programmiersprache

Abtretungsempfänger:in

Praxispartner:in/Auftraggeber:in

Zusammenfassung

The Internet of Things (IoT) is a revolutionary concept that has rapidly transformed how we interact with technology and the world around us. In response to the inherent complexity and heterogeneity of the IoT domain, there has been a surge in the development of modeling languages and supporting platforms for developing IoT applications. Among the many modeling options available, one can distinguish between General-Purpose Modeling Languages (GPML) and Domain-Specific Modeling Languages (DSML). Each language has unique characteristics, offering distinct levels of abstraction and expressiveness crucial for effective IoT solution modeling. The challenge of selecting the most suitable language remains, with developers needing to weigh the benefits and drawbacks of each option carefully. This paper compares GPML and DSML regarding their characteristics, benefits, and drawbacks. By identifying key factors to consider when choosing a modeling language for IoT solutions, this research aims to provide valuable insights for a decision-making framework to help practitioners with this choice. To validate the findings and practical implications, a practical workshop was conducted. After creating a smart room scenario using the X-IoT DSML, the participants confirmed the advantages of DSML regarding user-friendliness, higher abstraction, improved communication, faster development, and the ability for non-experts to participate in the IoT application development process.

Schlagwörter

Fachgebiet (DDC)

330 - Wirtschaft

Projekt

Veranstaltung

BIR Conference 2023

Startdatum der Ausstellung

Enddatum der Ausstellung

Startdatum der Konferenz

Enddatum der Konferenz

Datum der letzten Prüfung

ISBN

ISSN

Sprache

Englisch

Während FHNW Zugehörigkeit erstellt

Ja

Zukunftsfelder FHNW

Publikationsstatus

Veröffentlicht

Begutachtung

Peer-Review der ganzen Publikation

Open Access-Status

Diamond

Lizenz

Zitation

Fedeli, A., Beutling, N., Laurenzi, E., & Polini, A. (2023). Comparison of general-purpose and domain-specific modeling languages in the IoT domain: A case study from the OMiLAB community. In A. Morichetta, R. A. Buchmann, K. Sandkuhl, U. Seigerroth, M. Kirikova, C. Møller, P. Forbrig, A. Gutschmidt, A.-M. Ghiran, A. Marcelletti, F. Härer, B. Re, & B. Johansson (Eds.), Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023) (pp. 145–157). Sun SITE, Informatik V, RWTH Aachen. https://doi.org/10.26041/fhnw-11146

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