A Defect Prediction Model for Open Source Software
Defect prediction models are significantly beneficial for software systems, where testing experts need to focus their attention and resources on problematic areas in the software under development. In this paper, the authors find the relation between object oriented metrics and fault proneness using logistic regression method. The results are analyzed using open source software. The performance of the predicted models is evaluated using Receiver Operating Characteristic (ROC) analysis. The results show that Area under Curve (calculated by ROC analysis) of the predicted model is 0.829.