Intelligent Classification and Retrieval of Software Components

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This paper proposes a new methodology for smart classification and retrieval of software mechanism based on user - defined necessities. The classification proposal utilizes a dedicated genetic algorithm which evolves a tiny number of classifiers by dividing the position of available components stored in a database into positive subsets (clusters). Each classifier consequently becomes the leader-representative of its cluster. When a customer wishes to trace a component he/she identifies the preferred characteristics (component profile) which are then compared with the distinctiveness of the available classifiers.