Identification of User Activity Types using Issue Tracker Events

Inna Kurnosova, Dmitrii Timofeev, Alexander Samochadin

2019

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.

Paper Citation

in Harvard Style

Kurnosova I., Timofeev D. and Samochadin A. (2019). Identification of User Activity Types using Issue Tracker Events. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 3: KMIS; ISBN 978-989-758-382-7, SciTePress, pages 405-411. DOI: 10.5220/0008383604050411

in Bibtex Style

@conference{kmis19,
author={Inna Kurnosova and Dmitrii Timofeev and Alexander Samochadin},
title={Identification of User Activity Types using Issue Tracker Events},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 3: KMIS},
year={2019},
pages={405-411},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008383604050411},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 3: KMIS
TI - Identification of User Activity Types using Issue Tracker Events
SN - 978-989-758-382-7
AU - Kurnosova I.
AU - Timofeev D.
AU - Samochadin A.
PY - 2019
SP - 405
EP - 411
DO - 10.5220/0008383604050411
PB - SciTePress