Mining the coherence of GNOME bug reports with statistical topic models

Submitted by msquire on Wed, 2011-04-13 08:38

Title	Mining the coherence of GNOME bug reports with statistical topic models
Publication Type	Conference Paper
Year of Publication	2009
Authors	Linstead, E, Baldi, P
Secondary Title	2009 6th IEEE International Working Conference on Mining Software Repositories (MSR)2009 6th IEEE International Working Conference on Mining Software Repositories
Pagination	99 - 102
Publisher	IEEE
Place Published	Vancouver, BC, Canada
ISBN Number	978-1-4244-3493-0
Keywords	bug reports, bugzilla, gnome, msr challenge, quality, sourcerer
Abstract	We adapt latent Dirichlet allocation to the problem of mining bug reports in order to define a new information-theoretic measure of coherence. We then apply our technique to a snapshot of the GNOME Bugzilla database consisting of 431,863 bug reports for multiple software projects. In addition to providing an unsupervised means for modeling report content, our results indicate substantial promise in applying statistical text mining algorithms for estimating bug report quality. Complete results are available from our supplementary materials Web site at http://sourcerer.ics.uci.edu/msr2009/gnome_coherence.html.
DOI	10.1109/MSR.2009.5069486
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