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What is Analysis of Feature Selection Methods in Software Defect Prediction Models about?

This document presents a systematic literature review analyzing feature selection methods in software defect prediction models, highlighting their importance in improving software quality by identifying relevant features and reducing data dimensionality. The review examines 49 primary studies from reputable digital libraries, focusing on the prevalence of filtering and hybrid methods, commonly used classifiers, and evaluation metrics. The findings aim to guide researchers and practitioners in enhancing soft

Author

umeshmahadeva

Language

EN