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The main objective of a software development team is to have maximum customer defects in the software will reduce its quality. Thereby increasing its development cost. Several algorithms have been proposed for predicting software defects. But most of these algorithms are not appropriate when the dataset is imbalanced. In this paper an Ensemble DeepBoost Classifier (EDC) is built to predict the software defects effectively by addressing two major issues -curse of dimensionality and classdoi:10.30534/ijatcse/2020/173922020 fatcat:56245ae6mjfydfg7ugjh3bjcpi