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 indep...

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Autores principales: Elife Ozturk Kiyak, Derya Birant, Kokten Ulas Birant
Formato: article
Lenguaje:EN
Publicado: Wroclaw University of Science and Technology 2021
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Acceso en línea:https://doaj.org/article/24ab5bfe8ea24ec68f62a57a46c2184d
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