CORMS: Code Reviews from GitHub and Gerrit for Modern Code Review Analysis

A collection of code reviews mined from the GitHub and Gerrit platforms for analyzing the performance of Modern Code Review (MCR) techniques. The dataset was created by prahar pandya and is available under an Open Access (green) license. The specific size, time range, and detailed structure of the data are not provided in the available metadata.

Use Cases

• Training machine learning models for code reviewer recommendation based on historical review patterns.
• Analyzing the effectiveness of different Modern Code Review techniques using mined review data.
• Benchmarking new automated code review approaches against performance metrics derived from the dataset.

Strengths

• Data is sourced from two major code collaboration platforms, GitHub and Gerrit.
• The dataset is explicitly designed for analyzing Modern Code Review (MCR) techniques.

Limitations

• Row count and overall data scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

GitHub and Gerrit platforms

Collection Method

Mined from the platforms