Developer Code Review and Testing Practices, with Interview Scripts and Analysis Tools

Davide Spadini from Delft University of Technology created this dataset for the paper "When Testing Meets Code Review: Why and How Developers Review Tests". It includes a CSV of bugs, categorized comments, database dumps, an interview script, the GerritMiner tool, and R analysis scripts. The dataset supports an empirical study of how developers review test code.

Use Cases

• Analyzing bug patterns and root causes based on the CSV file of bugs used for preliminary analysis.
• Studying the nature and categorization of developer feedback based on the provided comment categorizations.
• Replicating or extending the original empirical study using the provided database dumps and R scripts.
• Investigating developer motivations and processes through the provided interview script.

Strengths

• Dataset is directly linked to a published academic paper, providing clear research context.
• Includes multiple complementary components like raw data, analysis scripts, and an interview script, which may support reproducibility.

Limitations

• Row count, file sizes, and column-level documentation are unknown, limiting suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Delft University of Technology

Collection Method

Likely gathered from code review systems and developer interviews for the associated research paper.