LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI

Software defect identification (SDI) is a key part of improving the quality of software projects and lowering the risks that along with maintenance. It does identify the software defect causes that have not been reached yet to get sufficient results. On the other hand, many researchers have recently...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.55744-55756
Hauptverfasser:	Begum, Momotaz, Hasan Shuvo, Mehedi, Kamal Nasir, Mostofa, Hossain, Amran, Jakir Hossain, Mohammad, Ashraf, Imran, Uddin, Jia, Samad, Md. Abdus
Format:	Artikel
Sprache:	eng
Schlagworte:	1D-CNN 2D-CNN CNN model Computer architecture Computer vision Convolutional neural networks Data models Deep learning Defects explainability Explainable AI Explainable artificial intelligence Feature extraction Lightweight LIME Numerical models Predictive models Root cause analysis SHAP Software Software defect identification (SDI) Software quality Two dimensional models
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