GitClear First-Party Research & Studies
This section of the site is designed as a home specifically for the first-party research that GitClear periodically conducts. If you want to read more about developer measurement and code metrics in general, check out our Research & Learning Center.
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30% Less is More: Code Review Strategies That Cut Pull Request Size
This research analyzed 12,638 pull requests and observed a reduction of 22-31% in code lines to review by better interpreting code operations. 50 review participants suggest that review quality remains high.
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Coding on Copilot: 2023 Data Suggests Downward Pressure on Code Quality
Analysis of 153 million lines of code authored between 2020 and 2023 suggest that the proportion of "copy/pasted" code is increasing while moved code decreases.
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Diff Delta Benchmarks: How Does Company Size Influence Velocity?
Peer-reviewed research suggests Diff Delta has higher correlation with "software effort" than other git metrics.
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Measuring Code Activity for Data-Driven Decisions
The most comprehensive guide to measuring software coding activity for data-driven decision makers.
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Diff Delta, Commits, Code Lines: A Story Point Correlation Study
Peer-reviewed research suggests Diff Delta has higher correlation with "software effort" than other git metrics.
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Lines of Code Breakdown: A Compositional Analysis
For teams that use "lines of code" as a metric, what are they measuring? Breaking down 10 million code line changes.
