Código QR (código de barras bidimensional)

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...

ver descrição completa

Na minha lista:
Principais autores: Qi Kun, Zaffar Ahmed Shaikh, Jing Yang, Gyanendra Kumar, Heba Abdelgader Mohammed, Por Lip Yee
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2026-06-01
coleção:Scientific Reports
Assuntos:
Software project management
Decision making
Project planning
Software defect prediction
Explainable analytics
Software quality assurance
Acesso em linha:https://doi.org/10.1038/s41598-026-44202-3
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados