TY - GEN
T1 - Correlation Analysis of Popularity and Interoperability in Open Source Projects
AU - Al Shamsi, Fatima
AU - Bamatraf, Sarah
AU - Rahwan, Talal
AU - Aung, Zeyar
AU - Svetinovic, Davor
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In order to examine the success of open source projects, we analyzed 252,008 projects in the SourceForge database. We restricted our study to projects that are written in the top ranked programming languages. We measured the correlation between popularity, interoperability, productivity and the success rate of each project. The developers' contribution to the project was also examined in terms of the developer's team size, and the success in terms of the total number of committers (contributors). Our results indicate that using multiple programming languages requires additional team members. Also, there is a significant increase in the functionality of the developed project. The results also demonstrated that there is a positive correlation between the development team size, and the total number of committers.
AB - In order to examine the success of open source projects, we analyzed 252,008 projects in the SourceForge database. We restricted our study to projects that are written in the top ranked programming languages. We measured the correlation between popularity, interoperability, productivity and the success rate of each project. The developers' contribution to the project was also examined in terms of the developer's team size, and the success in terms of the total number of committers (contributors). Our results indicate that using multiple programming languages requires additional team members. Also, there is a significant increase in the functionality of the developed project. The results also demonstrated that there is a positive correlation between the development team size, and the total number of committers.
KW - data mining
KW - open-source software
KW - programming languages
UR - http://www.scopus.com/inward/record.url?scp=85062425604&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062425604&partnerID=8YFLogxK
U2 - 10.1109/INNOVATIONS.2018.8605970
DO - 10.1109/INNOVATIONS.2018.8605970
M3 - Conference contribution
AN - SCOPUS:85062425604
T3 - Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018
SP - 181
EP - 186
BT - Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Innovations in Information Technology, IIT 2018
Y2 - 18 November 2018 through 19 November 2018
ER -