Relation Chains in Code Review Across Three Open-Source Ecosystems

3.6 GB replication package for an ESEM 2026 paper on how developers use relation chains in code review. It contains raw Gerrit REST API outputs for 15 projects across OpenStack, Wikimedia, and ONAP, processed CSVs, and Jupyter notebooks to reproduce the paper's findings. The package was authored by Ahmed Belhouchette and released under an MIT license.

Use Cases

• Analyze code review patterns based on per-change and per-chain data.
• Reproduce empirical study figures and tables using the provided Jupyter notebooks.
• Study developer collaboration across the OpenStack, Wikimedia, and ONAP ecosystems.
• Investigate the use and impact of relation chains in peer review of software changes.

Strengths

• Includes raw data from 15 distinct open-source projects, providing a multi-ecosystem view.
• Contains Jupyter notebooks that allow for full replication of the paper's analysis.
• The 3.6 GB size suggests a detailed collection of API outputs and processed data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal bias inherent to the specific API snapshot dates.

Provenance

Source

figshare

Collection Method

Data gathered via Gerrit REST API from 15 open-source projects.

Freshness

Last updated 2026-05-18 23:54:35