@article {1241,
	title = {Collaborative Software Development Using R-Forge},
	journal = {The R Journal},
	volume = {1},
	number = {1},
	year = {2009},
	month = {05/2009},
	pages = {9-14},
	abstract = {Open source software (OSS) is typically created in a decentralized self-organizing process by a community of developers having the same or similar interests (see the famous essay by Raymond, 1999). A key factor for the success of OSS over the last two decades is the Internet: Developers who rarely meet face-to-face can employ new means of communication, both for rapidly writing and deploying software (in the spirit of Linus Torvald{\textquoteright}s {\textquotedblleft}release early, release often paradigm{\textquotedblright}). Therefore, many tools emerged that assist a collaborative software development process, including in particular tools for source code management (SCM) and version control.
In the R world, SCM is not a new idea; in fact, the R Development Core Team has always been using SCM tools for the R sources, first by means of Concurrent Versions System (CVS, see Cederqvist et al., 2006), and then via Subversion (SVN, see Pilato et al., 2004). A central repository is hosted by ETH Zürich mainly for managing the development of the base R system. Mailing lists like R-help, R-devel and many others are currently the main communication channels in the R community.
First, we present the core features that R- Forge offers to the R community. Second, we give a hands-on tutorial on how users and developers can get started with R-Forge. In particular, we illustrate how people can register, set up new projects, use R- Forge{\textquoteright}s SCM facilities, provide their packages on R-Forge, host a project-specific website, and how package maintainers submit a package to the Compre- hensive R Archive Network (CRAN, http://CRAN. R-project.org/). Finally, we summarize recent developments and give a brief outlook to future work.},
	keywords = {forge, R, scm, source code repositories, statistics},
	attachments = {https://flosshub.org/sites/flosshub.org/files/rjournal.pdf},
	author = {Stefan Theu{\ss}l and Achim Zeileis}
}
@booklet {Lopez-Fernandez_applyingsocial,
	title = {Applying Social Network Analysis to the Information in CVS Repositories},
	howpublished = {International Workshop on Mining Software Repositories (MSR 2004)},
	year = {2004},
	pages = {101-105},
	abstract = {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.},
	keywords = {apache, complex networks, cvs, gnome, kde, libre software engineering, source code, source code repositories, visualization techniques, vizualization},
	attachments = {https://flosshub.org/sites/flosshub.org/files/101ApplyingSocial.pdf},
	author = {L{\'o}pez-Fern{\'a}ndez, L. and Gregorio Robles and Jesus M. Gonzalez-Barahona}
}
