Minhaz F. Zibran
ABSTRACT
Bug-reports are valuable sources of information. However, study of the bug-reports' content written in natural language demands tedious human efforts for manual interpretation. This difficulty limits the scale of empirical studies, which rely on interpretation and categorization of bug-reports. In this work, we investigate the effectiveness of Labeled Latent Dirichlet Allocation (LLDA) in automatic classification of bug-reports into a predefined set of categories.
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Index Terms
- On the effectiveness of labeled latent dirichlet allocation in automatic bug-report categorization
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