Automated patch correctness predicting to fix software defect

Zelong Zheng, Ruihan Wang, Zijian Tao, Hui Li, Chen Chen, Tingting Li, Shikai Guo

Abstract: Highlights•APOSTLE is a learning-based unsupervised model with advanced pre-trained models.•APOSTLE solves low code semantic feature extraction during code vectorization process.•APOSTLE achieves competitive performances on large trusted patch dataset in APCA field.