<?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%">Gasser, Les</style></author><author><style face="normal" font="default" size="100%">Gabriel Ripoche</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Distributed Collective Practices and F/OSS Problem Management: Perspective and Methods</style></title><secondary-title><style face="normal" font="default" size="100%">Conference on Cooperation, Innovation &amp; Technology (CITE 2003)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Automated process extraction</style></keyword><keyword><style  face="normal" font="default" size="100%">bug fixing</style></keyword><keyword><style  face="normal" font="default" size="100%">bug reports</style></keyword><keyword><style  face="normal" font="default" size="100%">bugzilla</style></keyword><keyword><style  face="normal" font="default" size="100%">Collective knowledge management</style></keyword><keyword><style  face="normal" font="default" size="100%">Information extraction from natural language texts</style></keyword><keyword><style  face="normal" font="default" size="100%">mozilla</style></keyword><keyword><style  face="normal" font="default" size="100%">Software problem management</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2003</style></year></dates><abstract><style face="normal" font="default" size="100%">This paper presents the state of our research on Distributed Collective Practices (DCPs) in Free/Open-Source Software (F/OSS) projects, focusing on sensemaking and resolution of software problems. We are exploring the hypothesis that variations in the content and in the articulation of these socio-technical processes have an impact on the outcome of the activity of F/OSS collectives, and more specifically on problem resolution. Our preliminary techniques for combining qualitative data analysis with automated process extraction result in a scalable analysis method called Computational Amplification (CA). We are applying CA to 128,000 problem reports from the Mozilla F/OSS project. The paper illustrates how CA is used to create multidimensional process models and shows types of conclusions we can reach.</style></abstract><notes><style face="normal" font="default" size="100%">&quot;We have begun studying in detail the general issues raised above using a large collection of research data from the Mozilla project&quot;
&quot;Our Bugzilla snapshot contains over 128,000 problem reports, of which about 88,000 have been resolved&quot;</style></notes></record></records></xml>