Mapping Bug Reports to Relevant Source Code Files Based on the Vector Space Model and Word Embedding. - Guangliang Liu; Yang Lu 015; Ke Shi 004; Jingfei Chang; Xing Wei 002 (IEEE Access, 2019)

Convolutional Neural Networks-Based Locating Relevant Buggy Code Files for Bug Reports Affected by Data Imbalance. - Guangliang Liu; Yang Lu 015; Ke Shi 004; Jingfei Chang; Xing Wei 002 (IEEE Access, 2019)

Applying Software Metrics to RNN for Early Reliability Evaluation. - Hao Zhang; Jie Zhang; Ke Shi 004; Hui Wang (J. Control. Sci. Eng., 2020)

PathPair2Vec: An AST path pair-based code representation method for defect prediction. - Ke Shi 004; Yang Lu 015; Jingfei Chang; Zhen Wei (J. Comput. Lang., 2020)

Empirical Research on the Application of a Structure-Based Software Reliability Model. - Jie Zhang; Yang Lu 015; Ke Shi 004; Chong Xu (IEEE CAA J. Autom. Sinica, 2021)

MPT-embedding: An unsupervised representation learning of code for software defect prediction. - Ke Shi 004; Yang Lu 015; Guangliang Liu; Zhenchun Wei; Jingfei Chang (J. Softw. Evol. Process., 2021)