My research interests include software engineering, programming languages, and systems. My research so far mainly focuses on boosting software maintenance and debugging by program analysis.
In the summer of 2019, I visited CASTLE Lab at HKUST, worked with professor Shing-Chi Cheung on machine learning testing and debugging on deep learning. Our work has been published on ESEC/FSE ’20.
Previously, I worked with Jiajun Jiang and professor Yingfei Xiong on program transformation and automated program repair. Our work has been published on ASE ’19 and ESEC/FSE ’19.
In the summer of 2018, I visited Carnegie Mellon University as a research intern. I was very fortunate to work with Shurui Zhou and professor Christian Kästner. Our work has been published on SANER ’19 and ICSE ’18.
[ASE ’19] Jiajun Jiang, Luyao Ren, Yingfei Xiong, Lingming Zhang. Inferring Program Transformations From Singular Examples via Big Code. [paper] [tool]
[SANER ’19] Luyao Ren, Shurui Zhou, Christian Kästner, Andrzej Wąsowski. Identifying Redundancies in Fork-based Development. [paper] [slides] [code]