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Quality and Reliability Metrics for IoT Systems: A Consolidated View

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Science and Technologies for Smart Cities (SmartCity360° 2020)

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Abstract

Quality and reliability metrics play an important role in the evaluation of the state of a system during the development and testing phases, and serve as tools to optimize the testing process or to define the exit or acceptance criteria of the system. This study provides a consolidated view on the available quality and reliability metrics applicable to Internet of Things (IoT) systems, as no comprehensive study has provided such a view specific to these systems. The quality and reliability metrics categorized and discussed in this paper are divided into three categories: metrics assessing the quality of an IoT system or service, metrics for assessing the effectiveness of the testing process, and metrics that can be universally applied in both cases. In the discussion, recommendations of proper usage of discussed metrics in a testing process are then given.

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Notes

  1. 1.

    https://www.tmap.net/wiki/quality-characteristics.

  2. 2.

    https://www.tmap.net/wiki/quality-characterstics-iot-environment.

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Acknowledgements

This research is conducted as a part of the project TACR TH02010296 Quality Assurance System for the Internet of Things Technology. The authors acknowledge the support of the OP VVV funded project CZ.02.1.01/0.0/0.0/16_019/0000765 “Research Center for Informatics”. Bestoun S. Ahmed has been supported by the Knowledge Foundation of Sweden (KKS) through the Synergi Project AIDA - A Holistic AI-driven Networking and Processing Framework for Industrial IoT (Rek:20200067).

Author information

Authors and Affiliations

  1. Department of Computer Science, FEE, Czech Technical University in Prague, Prague, Czechia

    Matej Klima, Vaclav Rechtberger, Miroslav Bures & Bestoun S. Ahmed

  2. Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK

    Xavier Bellekens

  3. Division of Cyber Security, Abertay University, Dundee, UK

    Hanan Hindy

  4. Department of Mathematics and Computer Science, Karlstad University, Karlstad, Sweden

    Bestoun S. Ahmed

Authors
  1. Matej Klima
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  2. Vaclav Rechtberger
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  3. Miroslav Bures
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  4. Xavier Bellekens
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  5. Hanan Hindy
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  6. Bestoun S. Ahmed
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Corresponding author

Correspondence to Miroslav Bures .

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Editors and Affiliations

  1. School of Technology and Management, Escola Superior de Tecnologia e Gestão, VIANA DO CASTELO, Portugal

    Sara Paiva

  2. Polytechnic Institute of Viana do Castel, Viana do Castelo, Portugal

    Sérgio Ivan Lopes

  3. SIC Laboratory, INSEEC U, ECE Paris Graduate School of Engineering, PARIS, France

    Rafik Zitouni

  4. Vaagdevi College of Engineering, Telangana, India

    Nishu Gupta

  5. University of Minho, Guimarães, Portugal

    Sérgio F. Lopes

  6. Nagoya University, Nagoya, Japan

    Takuro Yonezawa

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Klima, M., Rechtberger, V., Bures, M., Bellekens, X., Hindy, H., Ahmed, B.S. (2021). Quality and Reliability Metrics for IoT Systems: A Consolidated View. In: Paiva, S., Lopes, S.I., Zitouni, R., Gupta, N., Lopes, S.F., Yonezawa, T. (eds) Science and Technologies for Smart Cities. SmartCity360° 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-76063-2_42

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  • DOI: https://doi.org/10.1007/978-3-030-76063-2_42

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  • Online ISBN: 978-3-030-76063-2

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