Performance analysis of ensemble learning for predicting defects in open source software


Machine learning techniques have been earnestly explored by many software engineering researchers. At present state of art, there is no conclusive evidence on the kind of machine learning techniques which are most accurate and efficient for software defect prediction but some recent studies suggest that combining multiple machine learners, that is, ensemble… (More)
DOI: 10.1109/ICACCI.2014.6968438


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