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Support Vector Machine and Random Forest led software fault prediction
Review of machine learning techniques for software fault prediction from 2023-2025, examining algorithms, datasets, evaluation methods, and challenges in predictive modeling for software reliability.
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Migration-based maintenance is proposed as a future direction
Systematic research agenda for migration-based software maintenance automation, establishing a four-stage lifecycle model for transferring knowledge and solutions across software systems.
