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Intelligent Component Selection
Hong Kong September 28-September 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CMPSAC.2004.134283928th Annual International Computer So ...
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Valerie Maxville, Edith Cowan University
Jocelyn Armarego, Murdoch University
Chiou Peng Lam, Edith Cowan University
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.
Citation:
Valerie Maxville, Jocelyn Armarego, Chiou Peng Lam, "Intelligent Component Selection," compsac, vol. 1, pp.244-249, 28th Annual International Computer Software and Applications Conference (COMPSAC'04), 2004
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