Large-scale analysis of inactive GitHub repositories shows open source projects die primarily from insufficient value and ecosystem dynamics, not from pull request workflow problems, despite a common pattern of declining activity.
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Machine learning models forecast future OpenSSF Maintained scores on PyPI-linked GitHub repos with accuracies above 0.95 for bucketed maintenance levels and 0.79 for trend categories.
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The Death Spiral of Open Source Projects: A Post-Mortem Analysis of Pull Request Workflow Dynamics
Large-scale analysis of inactive GitHub repositories shows open source projects die primarily from insufficient value and ecosystem dynamics, not from pull request workflow problems, despite a common pattern of declining activity.
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Forecasting the Maintained Score from the OpenSSF Scorecard: A Study of GitHub Repositories Linked to PyPI Packages
Machine learning models forecast future OpenSSF Maintained scores on PyPI-linked GitHub repos with accuracies above 0.95 for bucketed maintenance levels and 0.79 for trend categories.