Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification

Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification

Ensuring software reliability through early-stage defect prevention and prediction is crucial, particularly as software systems become increasingly complex. Automated testing has emerged as the most practical approach to achieving bug-free and efficient code. In this context, machine learning-driven...

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Bibliographic Details
Main Authors: Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Software defect prediction
CodeBERT
defects
GPT
code snippets
software reliability
Online Access:https://ieeexplore.ieee.org/document/10820528/
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https://ieeexplore.ieee.org/document/10820528/

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