A software defect prediction method based on learnable three-line hybrid feature fusion

Yu Tang; Qi Dai; Ye Du; Lifang Chen; Xuanwen Niu

doi:10.1016/j.eswa.2023.122409

ScienceGate Book Chapters

JOURNAL ARTICLE

A software defect prediction method based on learnable three-line hybrid feature fusion

Yu Tang Qi Dai Ye Du Lifang Chen Xuanwen Niu

Year: 2023 Journal: Expert Systems with Applications Vol: 239 Pages: 122409-122409 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2023.122409

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Dimensionality reduction Artificial intelligence Feature (linguistics) Data mining Software Feature model Context (archaeology) Curse of dimensionality Redundancy (engineering) Pattern recognition (psychology) Machine learning

Metrics

Cited By

8.04

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

A software defect prediction method based on learnable three-line hybrid feature fusion

Metrics

Citation History

Topics

Related Documents

Software Defect Prediction Method Based on Multi-Feature Fusion

A Hybrid Feature Selection Method for Software Defect Prediction

Software Defect Prediction Method based on Hybrid Sampling

A Cross-Attention Gating Mechanism-Based Multimodal Feature Fusion Method for Software Defect Prediction

Display Line Defect Detection Method Based on Color Feature Fusion