Multi-view learning for software defect prediction

Multi-view learning for software defect prediction

Background: Traditionally, machine learning algorithms have been simply applied for software defect prediction by considering single-view data, meaning the input data contains a single feature vector. Nevertheless, different software engineering data sources may include multiple and partially indepe...

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Bibliographic Details
Main Authors:	Elife Ozturk Kiyak, Derya Birant, Kokten Ulas Birant
Format:	Article
Language:	English
Published:	Wroclaw University of Science and Technology 2021-08-01
Series:	e-Informatica Software Engineering Journal
Subjects:	Software defect prediction multi-view learning machine learning k-nearest neighbors
Online Access:	https://www.e-informatyka.pl/attach/e-Informatica_-_Volume_15/eInformatica2021Art08.pdf

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