Metaheuristic-driven feature selection: a PSO-CSO hybrid approach for software defect prediction

Manoj Varma; M. Giri

doi:10.1049/icp.2025.1672

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Metaheuristic-driven feature selection: a PSO-CSO hybrid approach for software defect prediction

Manoj Varma M. Giri

Year: 2025 Journal: IET conference proceedings. Vol: 2025 (7)Pages: 1595-1602 Publisher: Institution of Engineering and Technology

DOI: 10.1049/icp.2025.1672

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Keywords:

Feature selection Metaheuristic Computer science Particle swarm optimization Selection (genetic algorithm) Feature (linguistics) Software Artificial intelligence Machine learning Search-based software engineering Software development Software development process

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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

Metaheuristic-driven feature selection: a PSO-CSO hybrid approach for software defect prediction

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