Multi-Classification Refactoring Framework Using Hopfield Neural Network for Sustainable Software Development

Multi-Classification Refactoring Framework Using Hopfield Neural Network for Sustainable Software Development

Adopting high-quality source code is the ultimate way through which software evolution can be ensured as sustainable. Continuous refactoring in complex software systems ensures longevity and increases architecture knowledge sustainability. However, decision-making about refactoring is a challenge be...

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Main Authors: Abdullah Almogahed, Hairulnizam Mahdin, Yeong Hyeon Gu, Mohammed A. Al-Masni, Shehab Abdulhabib Alzaeemi, Mazni Omar, Abdulwadood Alawadhi, Samera Obaid Barraood, Abdul Rehman Gilal, Adnan Ameen Bakather
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Refactoring
refactoring strategies
software quality
sustainability
multi-classification
machine learning
Online Access:https://ieeexplore.ieee.org/document/10887181/
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