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2008 Seventh International Conference on Machine Learning and Applications
An Application of Latent Dirichlet Allocation to Analyzing Software Evolution
December 11-December 13
ISBN: 978-0-7695-3495-4
ASCII Text
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Erik Linstead, Cristina Lopes, Pierre Baldi, "An Application of Latent Dirichlet Allocation to Analyzing Software Evolution," Machine Learning and Applications, Fourth International Conference on, pp. 813-818, 2008 Seventh International Conference on Machine Learning and Applications, 2008.
 
 
BibTex
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@article{ 10.1109/ICMLA.2008.47,
author = {Erik Linstead and Cristina Lopes and Pierre Baldi},
title = {An Application of Latent Dirichlet Allocation to Analyzing Software Evolution},
journal ={Machine Learning and Applications, Fourth International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3495-4},
pages = {813-818},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICMLA.2008.47},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Machine Learning and Applications, Fourth International Conference on
TI - An Application of Latent Dirichlet Allocation to Analyzing Software Evolution
SN - 978-0-7695-3495-4
SP813
EP818
A1 - Erik Linstead,
A1 - Cristina Lopes,
A1 - Pierre Baldi,
PY - 2008
KW - topic models
KW - software evolution
KW - software mining
KW - latent dirichlet allocation
VL - 0
JA - Machine Learning and Applications, Fourth International Conference on
ER -
 
We develop and apply unsupervised statistical topic models, in particular Latent Dirichlet Allocation, to identify functional components of source code and study their evolution over multiple project versions. We present results for two large, open source Java projects, Eclipse and Argo UML, which are well-known and well-studied within the software mining community. Our results demonstrate the effectiveness of probabilistic topic models in automatically summarizing the temporal dynamics of software concerns, with direct application to project management and program understanding.
Index Terms:
topic models, software evolution, software mining, latent dirichlet allocation
Citation:
Erik Linstead, Cristina Lopes, Pierre Baldi, "An Application of Latent Dirichlet Allocation to Analyzing Software Evolution," icmla, pp.813-818, 2008 Seventh International Conference on Machine Learning and Applications, 2008
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