A systematic review of unsupervised learning techniques for software defect prediction

Unsupervised machine learners have been increasingly applied to software defect prediction. It is an approach that may be valuable for software practitioners because it reduces the need for labeled training data. Investigate the use and performance of unsupervised learning techniques in software def...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Information and software technology Jg. 122; S. 106287
Hauptverfasser:	Li, Ning, Shepperd, Martin, Guo, Yuchen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2020
Schlagworte:	Machine learning Meta-analysis Software defect prediction Systematic review Unsupervised learning Systematic review Software defect prediction Unsupervised learning Machine learning Meta-analysis
ISSN:	0950-5849, 1873-6025
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!