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For large-scale software projects, bug reports play an important role in software development and maintenance. While many bug reports may be received daily, the severity of the bug reports influences the fixing priority. In this research, we consider the abundant information embedded in tags, and propose a tagging mechanism to assign implicit tags to bug reports by calculating the report similarity. The experimental results show that the proposed tagging mechanism can improve the prediction performance in the most cases.
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