Defect prediction on a legacy industrial software

Context: Building defect prediction models for software projects is helpful for reducing the effort in locating defects. In this paper, we share our experiences in building a defect prediction model for a large industrial software project. We extract product and process metrics to build models and show that we can build an accurate defect prediction model even when 4% of the software is defective.