A Novel Wrapper-based Feature Selection Model using Fennec Fox Optimization for Software Fault Prediction

Hrishikesh Kumar; Himansu Das

doi:10.1109/otcon65728.2025.11071175

ScienceGate Book Chapters

JOURNAL ARTICLE

A Novel Wrapper-based Feature Selection Model using Fennec Fox Optimization for Software Fault Prediction

Hrishikesh Kumar Himansu Das

Year: 2025 Pages: 1-6

DOI: 10.1109/otcon65728.2025.11071175

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Feature selection Selection (genetic algorithm) Software bug Artificial intelligence Software Machine learning Fault (geology) Feature (linguistics) Data mining Pattern recognition (psychology) Programming language Biology

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.32

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Software Testing and Debugging Techniques

Physical Sciences → Computer Science → Software

A Novel Wrapper-based Feature Selection Model using Fennec Fox Optimization for Software Fault Prediction

Metrics

Topics

Related Documents

Software Fault Prediction using Wrapper based Ant Colony Optimization Algorithm for Feature Selection

A Wrapper-based Feature Selection Approach Using Particle Swarm Optimization for Software Fault Prediction

Enhancing software fault prediction using wrapper-based metaheuristic feature selection methods

Software Fault Prediction using Wrapper based Feature Selection Approach employing Genetic Algorithm

Software defect prediction using wrapper-based dynamic arithmetic optimization for feature selection