Into the ML-universe: An Improved Classification and Characterization of Machine-Learning Projects

Replication package related to the paper "Into the ML-universe: An Improved Classification and Characterization of Machine-Learning Projects" which includes the results of the various steps of our study with related plots, and the tool we built to classify our projects.

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Bibliographische Detailangaben
Hauptverfasser:	De Martino, Vincenzo, Recupito, Gilberto, Giordano, Giammaria, Ferrucci, Filomena, Di Nucci, Dario, Palomba, Fabio
Format:	Dataset
Sprache:	eng
Schlagworte:	Automated software engineering Empirical software engineering
Online-Zugang:	Volltext bestellen
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Beschreibung
Zusammenfassung:	Replication package related to the paper "Into the ML-universe: An Improved Classification and Characterization of Machine-Learning Projects" which includes the results of the various steps of our study with related plots, and the tool we built to classify our projects.
DOI:	10.6084/m9.figshare.25974886