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 language | English |
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Title of host publication | 11th Working Conference on Mining Software Repositories, MSR 2014 - Proceedings |
Publisher | ACM |
Pages | 408-411 |
Number of pages | 4 |
ISBN (Electronic) | 9781450328630 |
DOIs | |
Publication status | Published - 31 May 2014 |
Event | 11th International Working Conference on Mining Software Repositories, MSR 2014 - Hyderabad, India Duration: 31 May 2014 → 1 Jun 2014 |
Publication series
Name | 11th Working Conference on Mining Software Repositories, MSR 2014 - Proceedings |
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Conference
Conference | 11th International Working Conference on Mining Software Repositories, MSR 2014 |
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Country/Territory | India |
City | Hyderabad |
Period | 31/05/14 → 1/06/14 |
Bibliographical note
Publisher Copyright:Copyright 2014 ACM.
Keywords
- Data mining