A Cross-Repository Model for Predicting Popularity in GitHub

Social coding platforms, such as GitHub, can serve as natural laboratories for studying the diffusion of innovation through tracking the pattern of code adoption by programmers. This paper focuses on the problem of predicting the popularity of software repositories over time; our aim is to forecast...

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Veröffentlicht in:	arXiv.org 2019-02
Hauptverfasser:	Bidoki, Neda Hajiakhoond, Sukthankar, Gita, Keathley, Heather, Garibay, Ivan
Format:	Artikel
Sprache:	eng
Schlagworte:	Innovations Mathematical models Predictions Recurrent neural networks Repositories Statistical analysis Time series
Online-Zugang:	Volltext
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