Models of OSS Project Meta-information: A Dataset of Three Forges

Submitted by msquire on Fri, 2014-08-01 19:29
TitleModels of OSS Project Meta-information: A Dataset of Three Forges
Publication TypeConference Paper
Year of Publication2014
AuthorsWilliams, JR, Di Ruscio, D, Matragkas, N, Di Rocco, J, Kolovos, DS
Secondary TitleProceedings of the 11th Working Conference on Mining Software Repositories
Pagination408–411
PublisherACM
Place PublishedNew York, NY, USA
ISBN Number978-1-4503-2863-0
Keywordsdata mining, flossmole cited
Abstract

The process of selecting open-source software (OSS) for adoption is not straightforward as it involves exploring various sources of information to determine the quality, maturity, activity, and user support of each project. In the context of the OSSMETER project, we have developed a forge-agnostic metamodel that captures the meta-information common to all OSS projects. We specialise this metamodel for popular OSS forges in order to capture forge-specific meta-information. In this paper we present a dataset conforming to these metamodels for over 500,000 OSS projects hosted on three popular OSS forges: Eclipse, SourceForge, and GitHub. The dataset enables different kinds of automatic analysis and supports objective comparisons of cross-forge OSS alternatives with respect to a user's needs and quality requirements.
Notes

"FLOSSMole [4] is a similar initiative to OSSMETER; it
aims to collect and freely redistribute in different formats
the data of open source software. Differently from OSSMETER,
however, the FLOSSMole project does not provide the
instruments to analyse data, that are simply collected and
made publicly available."
URLhttp://doi.acm.org/10.1145/2597073.2597132
DOI10.1145/2597073.2597132
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Taxonomy upgrade extras: 
data mining
flossmole cited