Cross-project software defect prediction based on the reduction and hybridization of software metrics

Cross-project software defect prediction based on the reduction and hybridization of software metrics

Cross-project defect prediction (CPDP) plays an essential role in identifying potential defects in target projects, especially those with limited historical data, using relevant information from similar source projects. The current studies focused on three main types of software metrics for CPDP: st...

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Bibliographic Details
Main Authors: Ahmed Abdu, Zhengjun Zhai, Hakim A. Abdo, Sungon Lee, Mohammed A. Al-masni, Yeong Hyeon Gu, Redhwan Algabri
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Alexandria Engineering Journal
Subjects:
Cross-project defect prediction
Software metrics
Features reduction
Principal component analysis
Deep neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682401189X
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