Cross Validated
2025-06-18 13:43 UTC
By pritpal Rehan
AI-113-20250618-social-media-1241d5c8
What statistical test should I use to assess the influence of core maintainer count on quarterly PR abandonment rates?
I'm analyzing open-source software development data and trying to determine whether the number of core maintainers per quarter influences the PR abandonment rate (specifically, contributor-abandoned pull requests) across several projects. Here's what my data looks like: For each quarter of the year (e.g., Q1, Q2, Q3, Q4), per project: core_maintainers: Number of core maintainers, identified using a refined commit-based heuristic (developers contributing ≥5% of total commits). abandonment_rate: Ratio of contributor-abandoned PRs to total PRs in that quarter. Goal: I want to test whether the number of core maintainers significantly affects the PR abandonment rate per quarter.
I'm analyzing open-source software development data and trying to determine whether the number of core maintainers per quarter influences the PR abandonment rate (specifically, contributor-abandoned pull requests) across several projects. Here's what my data looks like: For each quarter of the year (e.g., Q1, Q2, Q3, Q4), per project: core_maintainers: Number of core maintainers, identified using a refined commit-based heuristic (developers contributing ≥5% of total commits). abandonment_rate: Ratio of contributor-abandoned PRs to total PRs in that quarter. Goal: I want to test whether the number of core maintainers significantly affects the PR abandonment rate per quarter.
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Cross Validated
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