As the size and complexity of software systems grow, knowing how to effectively judge whether there are defects in programs has attracted extensive attention research. However, current defect prediction methods only extract semantic information at syntactic level lack features mine manifestations code, because defective is incomplete or representation. Defective exhibits flawed behavior. This p...

Code clones. In this work, we propose a novel detection framework using machine learning for automated of all four type The features extracted from pair code blocks are combined possible clone with respect to reference block. We use AST and PDG both prepare labelled training samples after fusing the two feature vectors three different alternatives. six state-of-the-art classification models inc...