MAHAKIL: Diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction

• Main Authors: Kwabena E. Bennin, Jacky Keung, Passakorn Phannachitta, Akito Monden, Solomon Mensah
• 格式: Conference Proceeding
• 出版: 2018
• 主題: Computer Science
• 在線閱讀: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85049405348&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/58500

© 2018 ACM. This study presents MAHAKIL, a novel and efficient synthetic over-sampling approach for software defect datasets that is based on the chromosomal theory of inheritance. Exploiting this theory, MAHAKIL interprets two distinct sub-classes as parents and generates a new instance that inheri...