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Intelligent Classification and Retrieval of Software Components

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3 Author(s)
Andreou, A.S. ; Dept. of Comput. Sci., Cyprus Univ., Nicosia ; Vogiatzis, D.G. ; Papadopoulos, G.A.

This work proposes a new methodology for intelligent classification and retrieval of software components based on user-defined requirements. The classification scheme utilizes a dedicated genetic algorithm which evolves a small number of classifiers by dividing the set of available components stored in a database into certain subsets (clusters). Each classifier thus becomes the leader-representative of its cluster. When a user wishes to trace a component he/she identifies the desired characteristics (component profile) which are then compared with the characteristics of the available classifiers. The closest classifier matching the required characteristics over a user-defined threshold will result in the "winning" set of components belonging to its cluster, which are presented to the user in descending matching fitness. We have validated our methodology over a synthetic dataset of components and the results obtained were very encouraging. Last, we present the Web application developed to support the proposed intelligent classification method

Published in:

Computer Software and Applications Conference, 2006. COMPSAC '06. 30th Annual International  (Volume:2 )

Date of Conference:

17-21 Sept. 2006