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Software Defect Prediction Using an Intelligent Ensemble-Based Model

Software defect prediction plays a crucial role in enhancing software quality while achieving cost savings in testing. Its primary objective is to identify and send only defective modules to the testing stage. This research introduces an intelligent ensemble-based software defect prediction model th...

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Principais autores: Misbah Ali, Tehseen Mazhar, Yasir Arif, Shaha Al-Otaibi, Yazeed Yasin Ghadi, Tariq Shahzad, Muhammad Amir Khan, Habib Hamam
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2024-01-01
coleção:IEEE Access
Assuntos:
Machine learning
software defect prediction
ensemble classification
heterogeneous classifiers
random forest
support vector machine
Acesso em linha:https://ieeexplore.ieee.org/document/10413365/
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