@inproceedings{1cd62e7882ae40adac5da353e0d170f1,
title = "Correlation Analysis of Popularity and Interoperability in Open Source Projects",
abstract = "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.",
keywords = "data mining, open-source software, programming languages",
author = "\{Al Shamsi\}, Fatima and Sarah Bamatraf and Talal Rahwan and Zeyar Aung and Davor Svetinovic",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 13th International Conference on Innovations in Information Technology, IIT 2018 ; Conference date: 18-11-2018 Through 19-11-2018",
year = "2019",
month = jan,
day = "8",
doi = "10.1109/INNOVATIONS.2018.8605970",
language = "British English",
series = "Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "181--186",
booktitle = "Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018",
address = "United States",
}