@inproceedings{e32a4650efdf443095a9f9d62a792353,
title = "Software analytics study of Open-Source system survivability through social contagion",
abstract = "Free, Libre and Open Source Software (FLOSS) development has grown in prominence in recent years as the software development approach of choice. However, the factors responsible for maintaining development interest in them are still poorly understood, as FLOSS projects differ significantly from traditional for-profit closed-source software development. To address that knowledge gap, we have analyzed data from GitHub, an open source code repository which provides extensive records on a multitude of collaborative software engineering projects. Using machine learning algorithms, we sought out patterns in the data that might help us understand how projects survive. Our findings suggest that the impressions propagated by the users of software projects to other users strongly influence the projects' survival, as one would expect in a social contagion model.",
keywords = "social contagion, software project survival",
author = "Low, \{Jwen Fai\} and Tennom Yathog and Davor Svetinovic",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 ; Conference date: 06-12-2015 Through 09-12-2015",
year = "2016",
month = jan,
day = "18",
doi = "10.1109/IEEM.2015.7385840",
language = "British English",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
publisher = "IEEE Computer Society",
pages = "1213--1217",
booktitle = "IEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management",
address = "United States",
}