Cheating Death: A Statistical Survival Analysis of Publicly Available Python Projects (MSR 2020 - Mining Challenge)

Who

Ali Rao Hamza, Chelsea Parlett-Pelleriti, Erik Linstead

Track

MSR 2020 Mining Challenge

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When

Mon 29 Jun 2020 12:00 - 12:20 at MSR:Zoom2 - MSR Mining Challenge Chair(s): Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli

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.

Link to Preprint

http://www1.chapman.edu/~linstead/aliMSR2020.pdf

Ali Rao HamzaAuthor

Chelsea Parlett-PelleritiAuthor

Erik LinsteadAuthor

Chapman University

United States

Cheating Death: A Statistical Survival Analysis of Publicly Available Python Projects

bilibili link