Abstract
This paper proposes a detection scheme of duplicate bug reports in open-source projects based on the class information associated with centroid to enhance the detection performance. This method is extended from the previous one which used only centroid method without considering the effects of both inner and inter class. Besides, this method also improved the use of normalized cosine previously for identifying the similarity between two bug reports by denormalized cosine. The effectiveness of this method is verified in an empirical study with three open-source projects, SVN, Argo UML, and Apache. The experimental results show that this method outperforms other detection schemes by about 10% in all cases.
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