AbstractSoftware Defect Prediction (SDP) is one of the most assisting activities of the Testing Phase of SDLC. It identifies the modules that are defect prone and require extensive testing. This way, the testing resources can be used efficiently without violating the constraints. Though SDP is very helpful in testing, it's not always easy to predict the defective modules. There are various issues that hinder the smooth performance as well as use of the Defect Prediction models. In this report, we have distinguished some of the major issues of SDP and studied what has been done so far to address them.