Defect count prediction via metric-based convolutional neural network

With the increasing complexity and volume of the software, the number of defects in software modules is also increasing consistently, which affects the quality and delivery of software in time and budget. To improve the software quality and timely allocation of resources, defects should be detected at the initial phases of the software development life cycle. However, the existing defect prediction methodology based on high-dimensional and...