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2009 6th IEEE International Working Conference on Mining Software Repositories
Mining the coherence of GNOME bug reports with statistical topic models
Vancouver, BC, Canada
May 16-May 17
ISBN: 978-1-4244-3493-0
ASCII Text
x 
 
Erik Linstead, Pierre Baldi, "Mining the coherence of GNOME bug reports with statistical topic models," Mining Software Repositories, International Workshop on, pp. 99-102, 2009 6th IEEE International Working Conference on Mining Software Repositories, 2009.
 
 
BibTex
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@article{ 10.1109/MSR.2009.5069486,
author = {Erik Linstead and Pierre Baldi},
title = {Mining the coherence of GNOME bug reports with statistical topic models},
journal ={Mining Software Repositories, International Workshop on},
volume = {0},
year = {2009},
isbn = {978-1-4244-3493-0},
pages = {99-102},
doi = {http://doi.ieeecomputersociety.org/10.1109/MSR.2009.5069486},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Mining Software Repositories, International Workshop on
TI - Mining the coherence of GNOME bug reports with statistical topic models
SN - 978-1-4244-3493-0
SP99
EP102
A1 - Erik Linstead,
A1 - Pierre Baldi,
PY - 2009
VL - 0
JA - Mining Software Repositories, International Workshop on
ER -
 
Erik Linstead, Department of Computer Science University of California, Irvine, USA
Pierre Baldi, Department of Computer Science University of California, Irvine, USA
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 website at http://sourcerer.ics.uci.edu/msr2009/gnome_coherence.html.
Citation:
Erik Linstead, Pierre Baldi, "Mining the coherence of GNOME bug reports with statistical topic models," msr, pp.99-102, 2009 6th IEEE International Working Conference on Mining Software Repositories, 2009
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