Georgios Gousios and colleagues created this dataset to support their ICSE 2016 paper on work practices in pull-based development. The data likely contains metrics and attributes related to pull request contributions from a contributor's perspective. It originates from research at Radboud University Nijmegen and is available under an Open Access license.
Use Cases
- Analyzing contributor engagement and challenges based on the described pull request workflow perspective.
- Modeling factors influencing pull request acceptance or rejection based on inferred contributor and project attributes.
- Studying collaboration patterns and work practices in open-source software development mentioned in the paper's context.
Strengths
- Dataset is associated with a peer-reviewed publication from the International Conference on Software Engineering (ICSE).
- Author and organizational provenance (Radboud University Nijmegen) is clearly stated.
- License is specified as Open Access (green), facilitating reuse.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and dataset size are unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Georgios Gousios, Radboud University Nijmegen
- Collection Method
- Likely gathered for the empirical study described in the associated ICSE 2016 paper.