Engineering context-aware systems and applications : a survey

IBARRA, Unai Alegre, AUGUSTO, Juan Carlos and CLARK, Tony (2016). Engineering context-aware systems and applications : a survey. Journal of Systems and Software, 117 (C), 55-83.

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Official URL: http://www.sciencedirect.com/science/article/pii/S...
Link to published version:: https://doi.org/10.1016/j.jss.2016.02.010
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    Abstract

    Context-awareness is an essential component of systems developed in areas like Intelligent Environments, Pervasive & Ubiquitous Computing and Ambient Intelligence. In these emerging fields, there is a need for computerized systems to have a higher understanding of the situations in which to provide services or functionalities, to adapt accordingly. The literature shows that researchers modify existing engineering methods in order to better fit the needs of context-aware computing. These efforts are typically disconnected from each other and generally focus on solving specific development issues. We encourage the creation of a more holistic and unified engineering process that is tailored for the demands of these systems. For this purpose, we study the state-of-the-art in the development of context-aware systems, focusing on: (A) Methodologies for developing context-aware systems, analyzing the reasons behind their lack of adoption and features that the community wish they can use; (B) Context-aware system engineering challenges and techniques applied during the most common development stages; (C) Context-aware systems conceptualization. Keywords: Context-Aware Systems Engineering; Context-aware computing; Context-awareness; Context-sensitive; Sentient computing; Pervasive & Ubiquitous Computing; Intelligent Environments; Ambient Intelligence; Software engineering

    Item Type: Article
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1016/j.jss.2016.02.010
    Page Range: 55-83
    Depositing User: Tony Clark
    Date Deposited: 07 Sep 2016 09:18
    Last Modified: 18 Mar 2021 11:43
    URI: http://shura.shu.ac.uk/id/eprint/13364

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