Locally weighted regression with different kernel smoothers for software effort estimation

•Locally Weighted Regression method provides an efficient solution to learn from local effort data.•A comprehensive experiment with 1080 Locally Weighted Regression variants has been constructed.•It has been fount that Uniform kernel functions cannot outperform non-uniform kernel functions.•Kernel t...

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Veröffentlicht in:	Science of computer programming Jg. 214; S. 102744
Hauptverfasser:	Alqasrawi, Yousef, Azzeh, Mohammad, Elsheikh, Yousef
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2022
Schlagworte:	Effort estimation k-nearest neighbors Kernel function Locally weighted regression Effort estimation Locally weighted regression Kernel function k-nearest neighbors
ISSN:	0167-6423, 1872-7964
Online-Zugang:	Volltext
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