%0 Conference Paper %B Proceedings of the joint international and annual ERCIM workshops on Principles of software evolution (IWPSE) and software evolution (Evol) workshops %D 2009 %T Research friendly software repositories %A Herraiz, I. %A Robles, G. %A Gonzalez-Barahona, J.M. %K flossmetrics %K flossmole cited %X What is the future of software evolution? In 1974, Meir M. Lehman had a vision of software evolution being driven by empirical studies of software repositories, and of a theory based on those empirical results. However, that scenario is yet to come. Software evolution studies are often based on a few cases, because the needed information is scarce, dispersed and incomplete. Their conclusions are not generalizable, slowing down the progress of this research discipline. Libre (free / open source) software supposes an opportunity to alleviate this situation. In this paper we describe the existing approaches to provide research datasets that are mining libre software repositories, and propose an agenda based on the concept of research friendly software repositories, which provides finer granularity and integrated data. %B Proceedings of the joint international and annual ERCIM workshops on Principles of software evolution (IWPSE) and software evolution (Evol) workshops %I ACM %P 19–24 %> https://flosshub.org/sites/flosshub.org/files/herraiz-Research-Friendly-sw-repos.pdf %0 Journal Article %J International Journal of Information Technology and Web Engineering %D 2006 %T Applying Social Network Analysis Techniques to Community-Driven Libre Software Projects %A López-Fernández, L. %A Gregorio Robles %A Jesus M. Gonzalez-Barahona %A Herraiz, I. %K apache %K conway's law %K cvs %K gnome %K kde %K scm %K social network analysis %K source code %X Source code management repositories of large, long-lived libre (free, open source) software projects can be a source of valuable data about the organizational structure, evolution, and knowledge exchange in the corresponding development communities. Unfortunately, the sheer volume of the available information renders it almost unusable without applying methodologies which highlight the relevant information for a given aspect of the project. Such methodology is proposed in this article, based on well known concepts from the social networks analysis field, which can be used to study the relationships among developers and how they collaborate in different parts of a project. It is also applied to data mined from some well known projects (Apache, GNOME, and KDE), focusing on the characterization of their collaboration network architecture. These cases help to understand the potentials of the methodology and how it is applied, but also shows some relevant results which open new paths in the understanding of the informal organization of libre software development communities. %B International Journal of Information Technology and Web Engineering %V 1 %G eng %> https://flosshub.org/sites/flosshub.org/files/06_Lopez_ijitwe_sna.pdf %0 Journal Article %J Principles of Software Evolution, Eighth International Workshop on %D 2005 %T Evolution and growth in large libre software projects %A Gregorio Robles %A Amor, J. J. %A Jesus M. Gonzalez-Barahona %A Herraiz, I. %B Principles of Software Evolution, Eighth International Workshop on %P 165-174 %G eng %1 software engineering