Research Output

Mapping features to context Information: supporting context variability for context-aware pervasive applications.

  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.

  • Date:

    30 November 2009

  • Publication Status:

    Published

  • Publisher

    IEEE Computer Society

  • DOI:

    10.1109/WI-IAT.2010.25

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

Citation

Jaroucheh, Z., Liu, X. & Smith, S. (2009). Mapping features to context Information: supporting context variability for context-aware pervasive applications. In Proceedings of IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technologies (WI-IAT 2010), 611-614. doi:10.1109/WI-IAT.2010.25. ISBN 978-1-4244-8482-9

Authors

Keywords

context-awareness; context variability; feature model; software product model; pervasive applications;

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