A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction

Ning Li, Martin Shepperd, Yuchen Guo

Background: Unsupervised machine learners have been increasingly applied to software defect prediction. It is an approach that may be valuable for software practitioners because it…