Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods
Year: 2017
Type: article
Authors: Iyad Alazzam, Izzat Alsmadi, Mohammed Akour
Institutions: Yarmouk University, University of New Haven
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W2601229231