Applying Social Network Analysis to the Information in CVS Repositories
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: source code repositories, visualization techniques,......
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