Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network
Abstract: Highlights•Build a feature selection algorithm (EMWS) for defect prediction using WOA and SA.•Propose a unified defect predictor called WSHCKE by CNN and KELM.•Conduct extensive experiments for feature selection and defect prediction.
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