Models of OSS project meta-information: A dataset of three forges

James R. Williams, Davide Di Ruscio, Nicholas Matragkas, Juri Di Rocco, Dimitrios S. Kolovos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 meta-models 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.

Original languageEnglish
Title of host publication11th Working Conference on Mining Software Repositories, MSR 2014 - Proceedings
PublisherACM
Pages408-411
Number of pages4
ISBN (Electronic)9781450328630
DOIs
Publication statusPublished - 31 May 2014
Event11th International Working Conference on Mining Software Repositories, MSR 2014 - Hyderabad, India
Duration: 31 May 20141 Jun 2014

Publication series

Name11th Working Conference on Mining Software Repositories, MSR 2014 - Proceedings

Conference

Conference11th International Working Conference on Mining Software Repositories, MSR 2014
Country/TerritoryIndia
CityHyderabad
Period31/05/141/06/14

Bibliographical note

Publisher Copyright:
Copyright 2014 ACM.

Keywords

  • Data mining

Cite this