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Authors: Jun Yoneyama 1 ; Cyrille Artho 2 ; Yoshinori Tanabe 3 and Masami Hagiya 1

Affiliations: 1 Dept. of Computer Science, The University of Tokyo, Tokyo and Japan ; 2 School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm and Sweden ; 3 Dept. of Library, Archival and Information Studies, Tsurumi University, Yokohama and Japan

Keyword(s): Software Testing, Model-based Testing, Model-based Simulation, Fault Injection, Internet of Things, MQTT.

Related Ontology Subjects/Areas/Topics: Cross-Feeding between Data and Software Engineering ; Model-Driven Engineering ; Software Engineering ; Software Engineering Methods and Techniques

Abstract: IoT devices operate in environments where networks may be unstable. They rely on transport protocols to deliver data with given quality-of-service settings. To test an implementation of the popular MQTT protocol thoroughly, we extend the model-based test framework “Modbat” to simulate unstable networks by taking into account delays and transmission failures. Our proxy-based technology requires no changes to the IoT software, while the model allows the user to define stateless or stateful types or fault patterns. We evaluate our methods on a client-server library for MQTT, a transport protocol designed for IoT.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Yoneyama, J.; Artho, C.; Tanabe, Y. and Hagiya, M. (2019). Model-based Network Fault Injection for IoT Protocols. In Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-375-9; ISSN 2184-4895, SciTePress, pages 201-209. DOI: 10.5220/0007618102010209

@conference{enase19,
author={Jun Yoneyama. and Cyrille Artho. and Yoshinori Tanabe. and Masami Hagiya.},
title={Model-based Network Fault Injection for IoT Protocols},
booktitle={Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2019},
pages={201-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007618102010209},
isbn={978-989-758-375-9},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Model-based Network Fault Injection for IoT Protocols
SN - 978-989-758-375-9
IS - 2184-4895
AU - Yoneyama, J.
AU - Artho, C.
AU - Tanabe, Y.
AU - Hagiya, M.
PY - 2019
SP - 201
EP - 209
DO - 10.5220/0007618102010209
PB - SciTePress