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  5. A Requirements-based Approach for the Evaluation of Emulated IoT Systems
 
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A Requirements-based Approach for the Evaluation of Emulated IoT Systems

Author(s)
Portillo Dominguez, Andres Omar  
Ayala-Rivera, Vanessa  
Uri
http://hdl.handle.net/10197/10527
Date Issued
2018-08-20
Date Available
2019-05-20T10:21:25Z
Abstract
The Internet of Things (IoT) has become a major technological revolution. Evaluating any IoT advancements comprehensively is critical to understand the conditions under which they can be more useful, as well as to assess the robustness and efficiency of IoT systems to validate them before their deployment in real life. Nevertheless, the creation of an appropriate IoT test environment is a difficult, effort-intensive, and expensive task; typically requiring a significant amount of human effort and physical hardware to build it. To tackle this problem, emulation tools to test IoT devices have been proposed. However, there is a lack of systematic approaches for evaluating IoT emulation environments. In this paper, we present a requirements-based framework to enable the systematic evaluation of the suitability of an emulated IoT environment to fulfil the requirements that secure the quality of an adequate test environment for IoT.
Sponsorship
European Research Council
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2018 IEEE
Subjects

Internet of Things

Requirements

Testing

Evaluation

Emulation

IoT

DOI
10.1109/RESACS.2018.00008
Web versions
https://resacs2018.wordpress.com/
Language
English
Status of Item
Peer reviewed
Journal
2018 4th International Workshop on Requirements Engineering for Self-Adaptive, Collaborative, and Cyber Physical Systems (RESACS)
Conference Details
4th International Workshop on Requirements Engineering for Self-Adaptive, Collaborative, and Cyber Physical Systems (RESACS 2018), Banff, Canada, 20-24 August 2018
ISBN
978-1-5386-8410-8
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

re18_RESACSpre_Portillo.pdf

Size

259.88 KB

Format

Adobe PDF

Checksum (MD5)

08bf599148c2a0f027e0918edcd51bfd

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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