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Intelligent component selection

Maxville, V., Armarego, J. and Lam, C.P. (2004) Intelligent component selection. In: 28th Annual International Computer Software and Applications Conference (COMPSAC04), 28-30 September 2004, Hong Kong.

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    Link to Published Version: http://dx.doi.org/10.1109/CMPSAC.2004.1342839
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    Abstract

    Component-based software engineering (CBSE) provides solutions to the development of complex and evolving systems. As these systems are created and maintained, the task of selecting components is repeated. The context-driven component evaluation (CdCE) project is developing strategies and techniques for automating a repeatable process for assessing software components. This paper describes our work using artificial intelligence (AI) techniques to classify components based on an ideal component specification. Using AI we are able to represent dependencies between attributes, overcoming some of the limitations of existing aggregation-based approaches to component selection.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Engineering Science
    Publisher: IEEE
    Copyright: (c) 2004 IEEE.
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/567
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