<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Luis Lopez-Fernandez</style></author><author><style face="normal" font="default" size="100%">Gregorio Robles</style></author><author><style face="normal" font="default" size="100%">Jesus M. Gonzalez-Barahona</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Applying Social Network Analysis to the Information in CVS Repositories</style></title><secondary-title><style face="normal" font="default" size="100%">1st International Workshop on Mining Software Repositories (MSR)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">apache</style></keyword><keyword><style  face="normal" font="default" size="100%">gnome</style></keyword><keyword><style  face="normal" font="default" size="100%">kde</style></keyword><keyword><style  face="normal" font="default" size="100%">libre software</style></keyword><keyword><style  face="normal" font="default" size="100%">sna</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">software repository mining</style></keyword><keyword><style  face="normal" font="default" size="100%">source code management system</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">05/2004</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://msr.uwaterloo.ca/msr2004/</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IET</style></publisher><pub-location><style face="normal" font="default" size="100%">Edinburgh, Scotland, UK</style></pub-location><pages><style face="normal" font="default" size="100%">101-105</style></pages><isbn><style face="normal" font="default" size="100%">0 86341 432 X</style></isbn><language><style face="normal" font="default" size="100%">English</style></language><abstract><style face="normal" font="default" size="100%">The huge quantities of data available in the CVS repositories of large, long-lived libre (free, open source) software projects, and the many interrelationships among those data offer opportunities for extracting large amounts of valuable information about their structure, evolution and internal processes. Unfortunately, the sheer volume of that information renders it almost unusable without applying methodologies which highlight the relevant information for a given aspect of the project. In this paper, we propose the use of a well known set of methodologies (social network analysis) for characterizing libre software projects, their evolution over time and their internal structure. In addition, we show how we have applied such methodologies to real cases, and extract some preliminary conclusions from that experience.</style></abstract></record></records></xml>