GAP: Forecasting commit activity in git projects

•Assess the risk of contributor abandonment by identifying declining activity early.•Predict the activity of individual contributors based on recent commit activity.•The model accuracy is validated on 17,340 pairs of contributors and projects.•An open source command-line tool GAP implements the prob...

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Veröffentlicht in:	The Journal of systems and software Jg. 165; S. 110573
Hauptverfasser:	Decan, Alexandre, Constantinou, Eleni, Mens, Tom, Rocha, Henrique
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.07.2020
Schlagworte:	Commit activity Developer abandonment Distributed software development Git Prediction model Distributed software development Commit activity Git Developer abandonment Prediction model
ISSN:	0164-1212, 1873-1228
Online-Zugang:	Volltext
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