Recommendation System for Open Source Projects for Minimizing Abandonment

Abstract

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.