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...

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Vydané v:	Information and software technology Ročník 122; s. 106287
Hlavní autori:	Li, Ning, Shepperd, Martin, Guo, Yuchen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.06.2020
Predmet:	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
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