Assessing Open Source Software Survivability using Kaplan-Meier Survival Function and Polynomial Regression
Sohee Park, Ryeonggu Kwon, Gihwon Kwon · 2024
This study evaluates OSS project survivability using the Kaplan-Meier Survival Function and polynomial regression models. The key factors identified include the number of contributors and project popularity, which significantly influence survivability. Traditional indicators like project age do not directly correlate with OSS survivability. Instead, community engagement and recognition are crucial, offering valuable guidelines for managing and selecting Survivable OSS projects.