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What is Intelligent Ensemble Model for Defect Prediction about?

This research presents an intelligent ensemble-based software defect prediction model (VESDP) that combines four supervised machine learning algorithms to enhance software quality and reduce testing costs. The model employs a two-stage prediction process and is evaluated using seven historical defect datasets from the NASA MDP repository, achieving remarkable accuracy and outperforming twenty state-of-the-art techniques. The study highlights the effectiveness of ensemble methods in improving predictive perf

Author

23mp2109

Language

EN