Learning to select software components

Maxville, V., Armarego, J. and Lam, C.P. (2004) Learning to select software components. In: 2004 International Conference of Software Engineering and Knowledge Engineering, 22-24 June 2004, Banff, Canada pp. 421-426.

Abstract

Developers using software components need to be confident in their selection of the most suitable component. Manual searching is time consuming and unlikely to be able to consider large numbers of components. The Context-driven Component Evaluation (CdCE) project is investigating ways to use Artificial Intelligence to assist the selection process. This paper describes our Machine Learning approach where we train a system to recognise candidates that match an ideal component specification. We utilise automated test generation techniques to create data for training the system. This results in a generic assessment system that can automatically short-list components for further investigation.

Publication Type:	Conference Paper
Murdoch Affiliation:	School of Engineering Science
Publisher:	Knowledge Systems Institute
Copyright:	© Knowledge Systems Institute
Conference Website:	http://www.ksi.edu/seke/seke04.html
URI:	http://researchrepository.murdoch.edu.au/id/eprint/943

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