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- W3090307605 abstract "We apply survival analysis methods to a dataset of publicly-available software projects in order to examine the attributes that might lead to their inactivity over time. We ran a Kaplan-Meier analysis and fit a Cox Proportional-Hazards model to a subset of Software Heritage Graph Dataset, consisting of 3052 popular Python projects hosted on GitLab/GitHub, Debian, and PyPI, over a period of 165 months. We show that projects with repositories on multiple hosting services, a timeline of publishing major releases, and a good network of developers, remain healthy over time and should be worthy of the effort put in by developers and contributors." @default.
- W3090307605 created "2020-10-08" @default.
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- W3090307605 date "2020-06-29" @default.
- W3090307605 modified "2023-10-06" @default.
- W3090307605 title "Cheating Death" @default.
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- W3090307605 doi "https://doi.org/10.1145/3379597.3387511" @default.
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