Engineering intelligent environments: preliminary findings of a systematic review
Santokhee, Adityarajsingh, Augusto, Juan Carlos 
ORCID: https://orcid.org/0000-0002-0321-9150 and Evans, Carl ORCID: https://orcid.org/0000-0002-3109-595X
(2018)
Engineering intelligent environments: preliminary findings of a systematic review.
Volume 23: Intelligent Environments 2018.
In: 2nd Workshop on Citizen Centric Smart Cities Solutions (CCSCS'18), The 14th International Conference on Intelligent Environments, 25-28 June 2018, Rome, Italy.
ISBN 9781614998730.
ISSN 1875-4163
[Conference or Workshop Item]
(doi:10.3233/978-1-61499-874-7-57)
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Available under License Creative Commons Attribution-NonCommercial 4.0. Download (473kB) | Preview |
Abstract
Intelligent environments are complex systems that may require a diverse set of hardware devices, software libraries, networking and human computer interactions. New tools and techniques that can facilitate the engineering of such systems are thus critical. However, given the size and heterogeneity of the literature and in the light of, to our knowledge, there being only informal surveys restricted to specific issues have been conducted, we have seen the need to organise and synthesise the existent research corpus to obtain a clear idea on the main approaches that have been utilised for the development of IEs. To address this research gap, this systematic literature review was carried out. This paper presents the review’s preliminary findings that are expected to provide avenues for further research in this area. We find that there are different approaches for developing IEs and the development cycle consists of several phases. However, not all phases have received equal consideration. An evaluation framework which could offer guidance on the choice of the most suitable techniques per phase should also be the target of research efforts.
| Item Type: | Conference or Workshop Item (Other) |
|---|---|
| Research Areas: | A. > School of Science and Technology A. > School of Science and Technology > Computer Science > Intelligent Environments group |
| Item ID: | 24601 |
| Notes on copyright: | © 2018 The authors and IOS Press.
This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). |
| Useful Links: | |
| Depositing User: | Adityarajsingh Santokhee |
| Date Deposited: | 11 Jul 2018 09:56 |
| Last Modified: | 29 Nov 2022 19:53 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/24601 |
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