Constructing Regression Dataset from Code Evolution History. - Xuezhi Song; Yun Lin 001; Siang Hwee Ng; Ping Yu; Xin Peng 001; Jin Song Dong 001 (CoRR, 2021)

gDefects4DL: A Dataset of General Real-World Deep Learning Program Defects. - Yunkai Liang; Yun Lin 001; Xuezhi Song; Jun Sun 001; Zhiyong Feng 002; Jin Song Dong 001 (ICSE-Companion, 2022)

RegMiner: towards constructing a large regression dataset from code evolution history. - Xuezhi Song; Yun Lin 001; Siang Hwee Ng; Yijian Wu; Xin Peng 001; Jin Song Dong 001; Hong Mei 001 (ISSTA, 2022)

RegMiner: mining replicable regression dataset from code repositories. - Xuezhi Song; Yun Lin 001; Yijian Wu; Yifan Zhang; Siang Hwee Ng; Xin Peng 001; Jin Song Dong 001; Hong Mei 001 (ESEC/SIGSOFT FSE, 2022)

Characterizing the Complexity and Its Impact on Testing in ML-Enabled Systems : A Case Sutdy on Rasa. - Junming Cao; Bihuan Chen 001; Longjie Hu; Jie Gao; Kaifeng Huang 001; Xuezhi Song; Xin Peng 001 (ICSME, 2023)

An Empirical Study on Fault Diagnosis in Robotic Systems. - Xuezhi Song; Yi Li; Zhen Dong; Shuning Liu; Junming Cao; Xin Peng 001 (ICSME, 2023)

BugMiner: Automating Precise Bug Dataset Construction by Code Evolution History Mining. - Xuezhi Song; Yijian Wu; Junming Cao; Bihuan Chen 001; Yun Lin 001; Zhengjie Lu; Dingji Wang; Xin Peng 001 (ASE, 2023)

C2D2: Extracting Critical Changes for Real-World Bugs with Dependency-Sensitive Delta Debugging. - Xuezhi Song; Yijian Wu; Shuning Liu; Bihuan Chen 001; Yun Lin 001; Xin Peng 001 (ISSTA, 2024)