A Self-organizing Based Approach for Bug Reports Retrieval

do Rego,, Renata L. M. E.; Ribeiro, Márcio; de Barros, Emanuella A.; de Souza, Renata M. C. R.
December 2009
Journal of Digital Information Management;Dec2009, Vol. 7 Issue 6, p365
Academic Journal
This work introduces an approach for identifying duplicated bug reports that combines document indexing and Self-organizing Maps (SOM). The approach consists of a sequence of three processing modules: Preprocessing, Clustering, and Retrieval. The first module produces feature vectors used as description of bug reports. These feature vectors are the input for the second module, clustering, which uses a Self-organizing Map to cluster similar bug reports. Finally, the third module is responsible for finding the appropriate cluster for a given new bug report and retrieving the bug reports in that cluster. Experiments with a data base of bug reports demonstrate the usefulness of the proposed retrieval method.


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