IMDAC: A robust intelligent software defect prediction model via multi‐objective optimization and end‐to‐end hybrid deep learning networks

Software defect prediction (SDP) aims to build an effective prediction model for historical defect data from software repositories by some specialized techniques or algorithms, and predict the defect proneness of new software modules. Nevertheless, the complex internal intrinsic structure hidden beh...

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Veröffentlicht in:	Software, practice & experience Jg. 54; H. 2; S. 308 - 333
Hauptverfasser:	Zhu, Kun, Zhang, Nana, Jiang, Changjun, Zhu, Dandan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bognor Regis Wiley Subscription Services, Inc 01.02.2024
Schlagworte:	Artificial intelligence Artificial neural networks Data augmentation Deep learning Defects Evolutionary algorithms Machine learning Optimization Prediction models Robustness Soft computing Software Technical services
ISSN:	0038-0644, 1097-024X
Online-Zugang:	Volltext
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