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.
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|
|Item Control Page|
Downloads per month over past year