E-INFORMATICA SOFTWARE ENGINEERING JOURNAL, cilt.15, sa.1, ss.163-184, 2021 (ESCI)
Background: Traditionally, machine learning algorithms have been simply applied for software defect prediction by considering single-view data, meaning the input data contains a single feature vector. Nevertheless, different software engineering data sources may include multiple and partially independent information, which makes the standard single-view approaches ineffective.