Intelligent Classification and Retrieval of Software Components

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 dev...

• Type: Conference
• Year: 2006
• Where: COMPSAC
• Authors: Andreas S. Andreou, Dimitrios Vogiatzis, George A. Papadopoulos
• Keywords: COMPSAC 2006, Dedicated Genetic Algorithm, Intelligent Classification, Software Components, Software Engineering