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Meta-Model and Tool Support for the Organizational Aspects of Internet-of-Things Development Methods: Organizational Aspects of IoT Development Methods

Authors:

Kurt SandkuhlAuthors Info & Claims

AISS '21: Proceedings of the 3rd International Conference on Advanced Information Science and System

Article No.: 27, Pages 1 - 6

https://doi.org/10.1145/3503047.3503077

Published: 19 January 2022 Publication History

Abstract

The Internet-of-Things (IoT) has long become reality and contributes to the digital transformation of many industrial domains. IoT technologies are at the core of industry 4.0 application scenarios, contribute to cyber-physical system implementation, smart connected products and new business models exploiting their potential. There is plenty of work on how to specify, design and implement IoT solutions, but a lot of enterprises struggle to create business value from IoT technology because they have difficulties to define the organizational integration. Methodologies for model-driven engineering (MDE) of IoT solutions should encompass both, organizational and system development and integration, but existing model-based approaches focus on the technical perspective. The paper proposes a modeling approach integrated into enterprise modeling techniques to compensate for this lack. The enterprise modeling language 4EM is extended by adding a method component for IoT modeling. The main contributions of this paper are (a) a summary of the state-of-research in the field, (b) an industrial case for model-based IoT development, and (c) a meta-model and tool support for IoT modelling.

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Cited By

Kinnunen SMetso LKärri T(2025)Boosting the Learning Process for IoT Data Utilization in Business ValueContemporary Issues in Industry 5.010.1007/978-3-031-74779-3_14(401-428)Online publication date: 18-Jan-2025
https://doi.org/10.1007/978-3-031-74779-3_14
Nast BSandkuhl K(2024)A Method for Model-Driven IoT Application DevelopmentEvaluation of Novel Approaches to Software Engineering10.1007/978-3-031-64182-4_7(141-164)Online publication date: 10-Jul-2024
https://doi.org/10.1007/978-3-031-64182-4_7
Nast BSandkuhl K(2024)Quality Evaluation of a DSML Supporting Model-Driven IoT Development for Air Conditioning FacilitiesAdvances in Enterprise Engineering XVII10.1007/978-3-031-58935-5_4(52-72)Online publication date: 3-May-2024
https://doi.org/10.1007/978-3-031-58935-5_4
Show More Cited By

Index Terms

Meta-Model and Tool Support for the Organizational Aspects of Internet-of-Things Development Methods: Organizational Aspects of IoT Development Methods
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
2. Software and its engineering
  1. Software notations and tools

Index terms have been assigned to the content through auto-classification.

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AISS '21: Proceedings of the 3rd International Conference on Advanced Information Science and System

November 2021

526 pages

ISBN:9781450385862

DOI:10.1145/3503047

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 19 January 2022

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AISS 2021

AISS 2021: 2021 3rd International Conference on Advanced Information Science and System

November 26 - 28, 2021

Sanya, China

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Cited By

Kinnunen SMetso LKärri T(2025)Boosting the Learning Process for IoT Data Utilization in Business ValueContemporary Issues in Industry 5.010.1007/978-3-031-74779-3_14(401-428)Online publication date: 18-Jan-2025
https://doi.org/10.1007/978-3-031-74779-3_14
Nast BSandkuhl K(2024)A Method for Model-Driven IoT Application DevelopmentEvaluation of Novel Approaches to Software Engineering10.1007/978-3-031-64182-4_7(141-164)Online publication date: 10-Jul-2024
https://doi.org/10.1007/978-3-031-64182-4_7
Nast BSandkuhl K(2024)Quality Evaluation of a DSML Supporting Model-Driven IoT Development for Air Conditioning FacilitiesAdvances in Enterprise Engineering XVII10.1007/978-3-031-58935-5_4(52-72)Online publication date: 3-May-2024
https://doi.org/10.1007/978-3-031-58935-5_4
Shi YChen BTan GZhang G(2022)Intelligent Greenhouse Information Monitoring System Based on ESP322022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)10.1109/IIoTBDSC57192.2022.00021(50-55)Online publication date: Sep-2022
https://doi.org/10.1109/IIoTBDSC57192.2022.00021

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