Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Boren, T., Ramey, J.: Thinking aloud: reconciling theory and practice. IEEE Trans. Prof. Commun. 43(3), 261–278 (2000)
Bork, D.: Metamodel-based analysis of domain-specific conceptual modeling methods. In: Buchmann, R.A., Karagiannis, D., Kirikova, M. (eds.) PoEM 2018. LNBIP, vol. 335, pp. 172–187. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-02302-7_11
Brambilla, M., Cabot, J., Wimmer, M.: Model-driven software engineering in practice. Synth. Lect. Softw. Eng. 3(1), 1–207 (2017)
Ciccozzi, F., Spalazzese, R.: MDE4IoT: supporting the internet of things with model-driven engineering. In: IDC 2016. SCI, vol. 678, pp. 67–76. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-48829-5_7
Döring, N., Bortz, J.: Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften. Springer, Berlin (2016). https://doi.org/10.1007/978-3-642-41089-5
Frank, U.: Domain-specific modeling languages: Requirements analysis and design guidelines. In: Reinhartz-Berger, I., Sturm, A., Clark, T., Cohen, S., Bettin, J. (eds.) Domain Engineering: Product Lines, Languages, and Conceptual Models, pp. 133–157. Springer, Berlin, Heidelberg (2013). https://doi.org/10.1007/978-3-642-36654-3_6
Karagiannis, D., Kühn, H.: Metamodelling platforms. In: Bauknecht, K., Tjoa, A.M., Quirchmayr, G. (eds.) EC-Web 2002. LNCS, vol. 2455, pp. 182–182. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45705-4_19
Kim, W., Katipamula, S.: A review of fault detection and diagnostics methods for building systems. Sci. Technol. Built Environ. 24(1), 3–21 (2018)
Krogstie, J.: Quality of Business Process Models. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-319-42512-2
Lindland, O.I., Sindre, G., Sølvberg, A.: Understanding quality in conceptual modeling. IEEE Softw. 11(2), 42–49 (1994)
Maes, A., Poels, G.: Evaluating quality of conceptual modelling scripts based on user perceptions. Data Knowl. Eng. 63(3), 701–724 (2007)
Melgaard, S., Andersen, K., Marszal-Pomianowska, A., Jensen, R., Heiselberg, P.: Fault detection and diagnosis encyclopedia for building systems: a systematic review. Energies 15(12), 4366 (2022)
Moody, D.: The “physics’’ of notations: toward a scientific basis for constructing visual notations in software engineering. IEEE Trans. Software Eng. 35(6), 756–779 (2009)
Nast, B., Sandkuhl, K.: Meta-model and tool support for the organizational aspects of internet-of-things development methods: organizational aspects of IoT development methods. In: Proceedings of the 3rd International Conference on Advanced Information Science and System, pp. 1–6 (2021)
Nast., B., Sandkuhl., K.: Methods for model-driven development of IoT applications: requirements from industrial practice. In: Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023), pp. 170–181 (2023)
Nast, B., Sandkuhl, K., Paulus, S., Schiller, H.: MIoTA: modeling IoT applications for air conditioning facilities with ADOxx. In: BIR 2023 Workshops and Doctoral Consortium, 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023), pp. 158–168 (2023)
Nelson, H.J., Poels, G., Genero, M., Piattini, M.: A conceptual modeling quality framework. Software Qual. J. 20, 201–228 (2012)
OMiLAB: the ADOxx metamodelling platform. https://www.adoxx.org/live/home. Accessed 11 Oct 2023
Poels, G., Maes, A., Gailly, F., Paemeleire, R.: Measuring the perceived semantic quality of information models. In: Akoka, J., et al. (eds.) ER 2005. LNCS, vol. 3770, pp. 376–385. Springer, Heidelberg (2005). https://doi.org/10.1007/11568346_41
Sandkuhl, K., Seigerroth, U.: Method engineering in information systems analysis and design: a balanced scorecard approach for method improvement. Softw. Syst. Model. 18, 1833–1857 (2019)
Sosa-Reyna, C.M., Tello-Leal, E., Lara-Alabazares, D.: Methodology for the model-driven development of service oriented IoT applications. J. Syst. Architect. 90, 15–22 (2018)
Wand, Y., Weber, R.: An ontological model of an information system. IEEE Trans. Software Eng. 16(11), 1282–1292 (1990)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Nast, B., Sandkuhl, K. (2024). Quality Evaluation of a DSML Supporting Model-Driven IoT Development for Air Conditioning Facilities. In: Malinova Mandelburger, M., Guerreiro, S., Griffo, C., Aveiro, D., Proper, H.A., Schnellmann, M. (eds) Advances in Enterprise Engineering XVII. EDEWC 2023. Lecture Notes in Business Information Processing, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-031-58935-5_4
Download citation
DOI: https://doi.org/10.1007/978-3-031-58935-5_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-58934-8
Online ISBN: 978-3-031-58935-5
eBook Packages: Computer ScienceComputer Science (R0)