Improving with Hybrid Feature Selection in Software Defect Prediction
Muhammad Yoga Adha Pratama,
Rudy Herteno,
Mohammad Reza Faisal
et al.
Abstract:Software defect prediction (SDP) is used to identify defects in software modules that can be a challenge in software development. This research focuses on the problems that occur in Particle Swarm Optimization (PSO), such as the problem of noisy attributes, high-dimensional data, and premature convergence. So this research focuses on improving PSO performance by using feature selection methods with hybrid techniques to overcome these problems. The feature selection techniques used are Filter and Wrapper. The m… Show more
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