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

• المؤلفون الرئيسيون: Kwabena E. Bennin, Jacky Keung, Passakorn Phannachitta, Akito Monden, Solomon Mensah
• التنسيق: وقائع المؤتمر
• منشور في: 2018
• الموضوعات: Computer Science
• الوصول للمادة أونلاين: 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...