Identification of User Activity Types using Issue Tracker Events

Inna Kurnosova, Dmitrii Timofeev, Alexander Samochadin

Abstract

The paper studies the roles users play when contributing to open-source projects using modern code hosting and issue tracking platforms like GITHUB. Role identification has been performed using cluster analysis of the feature vectors generated from the events corresponding to user activity. The method was applied to three open-source projects of different sizes. The roles of maintainers and developers (core team), casual contributors, and watchers were identified, as well as the differences in work organization in these projects.

Download


Paper Citation