Abstract
For the success of the time bound development of software to meet with high demand of market, it is very much necessary for organizations to maintain a proper reusable component repository, either open source or proprietary. This was also endorsed by the survey authors conducted and analyzed data collected as shown in this work. This paper aims to bring out the opinions of actual users like developers in using the Repository. A survey was conducted by the authors of this paper. Basically, survey aims at identifying the experiences of developers using reusable components and trying to identify what developers are expecting from the reusable component repositories and the practices of usage of repositories in the companies. In this paper a Novel Repository building mechanism using Neural Networks is proposed. The normalized features are considered as input to Neural Network model which specifies whether required component exists or not in the repository. The experiment results were found to be giving 94% accuracy in identifying an existing component at the time of retrieval.
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