BibSonomy :: publication ::

tag user group author concept BibTeX key search:all search:mschuber

The blue social bookmark and publication sharing system.

(0)

This publication has not been reviewed yet.

rating distribution

average user rating

The average rating is computed over all reviews. However, some of them may be invisible to you due to the visibility setting chosen by the reviewers.

(0.0 of 5.0 based on 0 reviews)

Mining Eclipse Developer Contributions via Author-Topic Models

by: Erik Linstead, Paul Rigor, Sushil Bajracharya, Cristina Lopes, and Pierre Baldi

In: Proceedings of the Fourth International Workshop on Mining Software RepositoriesIEEE Computer Society (2007) , p. 30.

Abstract

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.

Description

based on the eclipse dataset the author-topic is applied goal of this paper is to identify the developer who will contribute to a bug most likly

BibTeX record

@inproceedings{paper:linstead:2007,
  abstract = {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.},
  added-at = {2008-05-13T10:22:08.000+0200},
  author = {Linstead, Erik and Rigor, Paul and Bajracharya, Sushil and Lopes, Cristina and Baldi, Pierre},
  biburl = {http://www.bibsonomy.org/bibtex/2a1a941a21d67f4bcb9af3210bea19aed/mschuber},
  booktitle = {Proceedings of the Fourth International Workshop on Mining Software Repositories},
  description = {based on the eclipse dataset the author-topic is applied
goal of this paper is to identify the developer who will contribute to a bug most likly},
  interhash = {ef871a2300799284a9369919a6a9944d},
  intrahash = {a1a941a21d67f4bcb9af3210bea19aed},
  keywords = {2007 author-topic eclipse},
  pages = 30,
  publisher = {IEEE Computer Society},
  timestamp = {2008-05-13T10:22:08.000+0200},
  title = {Mining Eclipse Developer Contributions via Author-Topic Models},
  year = 2007
}

Endnote record