Suggesting Software Components for Reuse in Search Engines Using Discovered Knowledge Techniques

The software reuse initiatives are better implemented when there is an efficient way to find the reusable assets. However, the search and retrieval of such information is considered a big deal in literature, once there is a gap between what the software engineer would like to retrieve and what is stored in the repository. Thus, this paper presents an efficient way to reduce this problem and aid search engines applying data mining techniques on log mechanisms to extract knowledge about the historic data. In order to evaluate the results, an initial experiment is also discussed.