TY - GEN
T1 - Trends and behavior of developers in open collaborative software projects
AU - Allaho, Mohammad Y.
AU - Lee, Wang-chien
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/3/12
Y1 - 2014/3/12
N2 - We conduct an extensive analysis on the developers of Open Source Software (OSS) projects. Our goal is to discover trends that govern the developers' behavior in contributing to OSS projects. To achieve our goal, we define and analyze a set of developer and OSS project features. Moreover, we study the behavior of the developers on selecting OSS projects to participate in by analyzing the project features that dictate the developers' selection. In addition, we study the difference between developers who seek a job and who do not seek a job in developing social ties. We, also, analyze the developers' affiliation (e.g., corporate, university, Institute, etc.) and location (e.g., city) statistics. It is found that a significant ratio of developers share the same affiliation and location in a team for a project that is being developed by remote collaborators. We use a dataset collected from Github.com, which is one of the most fast-growing and large-scale online OSS community. This study is substantial for future works of recommender systems targeting the OSS community.
AB - We conduct an extensive analysis on the developers of Open Source Software (OSS) projects. Our goal is to discover trends that govern the developers' behavior in contributing to OSS projects. To achieve our goal, we define and analyze a set of developer and OSS project features. Moreover, we study the behavior of the developers on selecting OSS projects to participate in by analyzing the project features that dictate the developers' selection. In addition, we study the difference between developers who seek a job and who do not seek a job in developing social ties. We, also, analyze the developers' affiliation (e.g., corporate, university, Institute, etc.) and location (e.g., city) statistics. It is found that a significant ratio of developers share the same affiliation and location in a team for a project that is being developed by remote collaborators. We use a dataset collected from Github.com, which is one of the most fast-growing and large-scale online OSS community. This study is substantial for future works of recommender systems targeting the OSS community.
UR - http://www.scopus.com/inward/record.url?scp=84946692499&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946692499&partnerID=8YFLogxK
U2 - 10.1109/BESC.2014.7059515
DO - 10.1109/BESC.2014.7059515
M3 - Conference contribution
AN - SCOPUS:84946692499
T3 - Proceedings of 2014 IEEE International Conference on Behavioral, Economic, Socio-Cultural Computing, BESC 2014
BT - Proceedings of 2014 IEEE International Conference on Behavioral, Economic, Socio-Cultural Computing, BESC 2014
A2 - Xu, Guandong
A2 - Nejdl, Wolfgang
A2 - Liu, Huan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 1st IEEE International Conference on Behavioral, Economic, Socio-Cultural Computing, BESC 2014
Y2 - 30 October 2014 through 1 November 2014
ER -