Recommendation System for Open Source Projects for Minimizing Abandonment
Sarah Sayce, Krishnendu Ghosh · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · 2022
The rise in the creation and maintenance of Open Source Software have facilitated the software developers to contribute and prevent abandonment. Software developers often face a daunting task to select the open source projects that remain active. In the absence of any resource to guide in the selection of the Open Source Software projects, recommendation systems is way to provide guidance to open source contributors. In this work, we describe several approaches in creation of recommendation systems for Open Source Software projects. Experiments on a synthetic data set are performed to evaluate the performance of the recommendation system.