C2D2: Extracting Critical Changes for Real-World Bugs with Dependency-Sensitive Delta Debugging
Published in ISSTA, 2024
Xuezhi Song, Yijian Wu*, Shuning Liu, Bihuan Chen, Yun Lin, Xin Peng
Publications
BugMiner: Automating Precise Bug Dataset Construction by Code Evolution History Mining
Published in ASE Industry Challenge Track, 2023
Xuezhi Song, Yijian Wu*, Junming Cao, Bihuan Chen, Yun Lin, Zhengjie Lu, Dingji Wang, Xin Peng
An Empirical Study on Fault Diagnosisa in Robotic Systems
Published in ICSME, 2023
Xuezhi Song, Yi Li, Zhen Dong, Shuning Liu, Junming Cao, Xin Peng
Characterizing the Complexity and Its Impact on Testing in ML-Enabled Systems - A Case Study on Rasa
Published in ICSME, 2023
Junming Cao, Bihuan Chen*, Longjie Hu, Jie Gao, Kaifeng Huang, Xuezhi Song, and Xin Peng
RegMiner: Mining Replicable Regression Dataset from Code Repositories
Published in FSE Demo, 2022
Xuezhi Song, Yun Lin*, Yijian Wu, Yifan Zhang, Siang Hwee Ng, Xin Peng, Jin Song Dong, Hong Mei
RegMiner: Towards Constructing Ultra-Large Regression Dataset from Code Evolution History
Published in ISSTA, 2022
Xuezhi Song, Yun Lin*, Siang Hwee Ng, Yijian Wu, Xin Peng, Jin Song Dong and Hong Mei. RegMiner: Towards Constructing a Large Regression Dataset from Code Evolution History [⚡ CCF Prototype Competition Award (1st Prize)]
gDefect4DL: A Dataset of General Real-World Deep Learning Program Defects
Published in ICSE Demo, 2022
Yunkai Liang, Yun Lin*, Xuezhi Song, Jun Sun, Zhiyong Feng, and Jin Song Dong. gDefect4DL: A Dataset of General Real-World Deep Learning Program Defects