@conference {1109, title = {Distributed Collective Practices and F/OSS Problem Management: Perspective and Methods}, booktitle = {Conference on Cooperation, Innovation \& Technology (CITE 2003)}, year = {2003}, note = {"We have begun studying in detail the general issues raised above using a large collection of research data from the Mozilla project" "Our Bugzilla snapshot contains over 128,000 problem reports, of which about 88,000 have been resolved"}, abstract = {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.}, keywords = {Automated process extraction, bug fixing, bug reports, bugzilla, Collective knowledge management, Information extraction from natural language texts, mozilla, Software problem management}, author = {Gasser, Les and Gabriel Ripoche} }