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Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)
Mining Eclipse Developer Contributions via Author-Topic Models
Minneapolis, Minnesota
May 20-May 26
ISBN: 0-7695-2950-X
ASCII Text
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Erik Linstead, Paul Rigor, Sushil Bajracharya, Cristina Lopes, Pierre Baldi, "Mining Eclipse Developer Contributions via Author-Topic Models," Mining Software Repositories, International Workshop on, pp. 30, Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007), 2007.
 
 
BibTex
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@article{ 10.1109/MSR.2007.20,
author = {Erik Linstead and Paul Rigor and Sushil Bajracharya and Cristina Lopes and Pierre Baldi},
title = {Mining Eclipse Developer Contributions via Author-Topic Models},
journal ={Mining Software Repositories, International Workshop on},
volume = {0},
year = {2007},
isbn = {0-7695-2950-X},
pages = {30},
doi = {http://doi.ieeecomputersociety.org/10.1109/MSR.2007.20},
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 Eclipse Developer Contributions via Author-Topic Models
SN - 0-7695-2950-X
SP
EP
A1 - Erik Linstead,
A1 - Paul Rigor,
A1 - Sushil Bajracharya,
A1 - Cristina Lopes,
A1 - Pierre Baldi,
PY - 2007
KW - null
VL - 0
JA - Mining Software Repositories, International Workshop on
ER -
 
Erik Linstead, University of California, Irvine, USA
Paul Rigor, University of California, Irvine, USA
Sushil Bajracharya, University of California, Irvine, USA
Cristina Lopes, University of California, Irvine, USA
Pierre Baldi, University of California, Irvine, USA
We present the results of applying statistical author-topic models to a subset of the Eclipse 3.0 source code consisting of 2,119 source files and 700,000 lines of code from 59 developers. This technique provides an intuitive and automated framework with which to mine developer contributions and competencies from a given code base while simultaneously extracting software function in the form of topics. In addition to serving as a convenient summary for program function and developer activities, our study shows that topic models provide a meaningful, effective, and statistical basis for developer similarity analysis.
Citation:
Erik Linstead, Paul Rigor, Sushil Bajracharya, Cristina Lopes, Pierre Baldi, "Mining Eclipse Developer Contributions via Author-Topic Models," msr, pp.30, Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007), 2007
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