Authors
Saiqa Aleem1, Luiz Fernando Capretz1 and Faheem Ahmed2, 1Western University, Canada and 2Thompson Rivers University, Canada
Abstract
Machine learning techniques can be used to analyse data from different perspectives and enable developers to retrieve useful information. Machine learning techniques are proven to be useful in terms of software bug prediction. In this paper, a comparative performance analysis of different machine learning techniques is explored for software bug prediction on public available data sets. Results showed most of the machine learning methods performed well on software bug datasets.
Keywords
Machine Learning Methods, Software Bug Detection, Predictive Analytics.