Correction to: Deploying Personalized Oblivious Mobile Identity
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Maria Virvou Hiroyuki Nakagawa Lakhmi C. Jain Editors
Knowledge-Based Software Engineering: 2020 Proceedings of the 13th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2020), Larnaca, Cyprus, August 24–26, 2020
Learning and Analytics in Intelligent Systems Volume 19
Series Editors George A. Tsihrintzis, University of Piraeus, Piraeus, Greece Maria Virvou, University of Piraeus, Piraeus, Greece Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia; KES International, Shoreham-by-Sea, UK; Liverpool Hope University, Liverpool, UK
The main aim of the series is to make available a publication of books in hard copy form and soft copy form on all aspects of learning, analytics and advanced intelligent systems and related technologies. The mentioned disciplines are strongly related and complement one another significantly. Thus, the series encourages cross-fertilization highlighting research and knowledge of common interest. The series allows a unified/integrated approach to themes and topics in these scientific disciplines which will result in significant cross-fertilization and research dissemination. To maximize dissemination of research results and knowledge in these disciplines, the series publishes edited books, monographs, handbooks, textbooks and conference proceedings.
More information about this series at http://www.springer.com/series/16172
Maria Virvou Hiroyuki Nakagawa Lakhmi C. Jain •
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Editors
Knowledge-Based Software Engineering: 2020 Proceedings of the 13th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2020), Larnaca, Cyprus, August 24–26, 2020
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Editors Maria Virvou Department of Informatics University of Piraeus Piraeus, Greece
Hiroyuki Nakagawa Graduate School of Information Science and Technology Osaka University Osaka, Japan
Lakhmi C. Jain Faculty of Engineering and Information University of Technology Sydney Stonyfell, SA, Australia
ISSN 2662-3447 ISSN 2662-3455 (electronic) Learning and Analytics in Intelligent Systems ISBN 978-3-030-53948-1 ISBN 978-3-030-53949-8 (eBook) https://doi.org/10.1007/978-3-030-53949-8 © Springer Nature Switzerland AG 2020 The chapter “Model-Based Testing for MQTT Applications” is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). For further details see license information in the chapter. This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, servi