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Mapping Features to Context Information: Supporting Context Variability for Context-Aware Pervasive Applications

Jaroucheh, Zakwan; Liu, Xiaodong; Smith, Sally


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Prof Sally Smith
Head of Graduate Apprenticeships and Skills Development and Professor


Context-aware computing is widely accepted as a promising paradigm to enable seamless computing. Several middlewares and ontology-based models for describing context information have been developed in order to support context-aware applications. However, the context variability, which refers to the possibility to infer or interpret different context information from different perspectives, has been neglected in the existing context modeling approaches. This paper presents an approach for context-aware software development based on a flexible product line based context model which significantly enhances reusability of context information by providing context variability constructs to satisfy different application needs.

Conference Name 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
Start Date Aug 31, 2010
End Date Sep 3, 2010
Publication Date 2010-08
Deposit Date Feb 3, 2011
Publicly Available Date May 16, 2017
Peer Reviewed Peer Reviewed
Volume 1
Pages 611-614
Book Title Proceedings of IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technologies (WI-IAT 2010)
ISBN 9781424484829
Keywords context-awareness; context variability; feature model; software product model; pervasive applications;
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Contract Date May 16, 2017


Mapping features to context Information: supporting context variability for context-aware pervasive applications.pdf (457 Kb)

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