An explainable AI framework for enhanced software defect prediction using transformer-assisted boosting

Abstract Accurate defect prediction is essential for better software quality to avoid cost overruns, schedule delays, and reduced system reliability due to software defects. This study presents a Transformer Assisted Boosting Framework (TABF) that combines XGBoost with the Transformer’s self-attenti...

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Үндсэн зохиолчид:	Qi Kun, Zaffar Ahmed Shaikh, Jing Yang, Gyanendra Kumar, Heba Abdelgader Mohammed, Por Lip Yee
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Nature Portfolio 2026-06-01
Цуврал:	Scientific Reports
Нөхцлүүд:	Software project management Decision making Project planning Software defect prediction Explainable analytics Software quality assurance
Онлайн хандалт:	https://doi.org/10.1038/s41598-026-44202-3
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!