Employing Partial Least Squares Regression with Discriminant Analysis for Bug Prediction
Rudolf Ferenc,
István Siket,
Péter Hegedűs
et al.
Abstract:Industry 4.0 (including Internet of Things, big data challenge, etc.) as industrial revolution system induces new contents in terms of software quality as well. Forecasting defect proneness of source code has long been a major research concern. Having an estimation of those parts of a software system that most likely contain bugs may help focus testing efforts, reduce costs, and improve product quality.Many prediction models and approaches have been introduced during the past decades that try to forecast bugge… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.