Research

My research interests include software engineering, security, 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.

Previously, I worked with Jiajun Jiang and professor Yingfei Xiong on code transformation and automated program repair. Our work has been published on ASE ’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.


Conference Papers

[ASE ’19] Jiajun Jiang, Luyao Ren, Yingfei Xiong, Lingming Zhang. Inferring Program Transformations From Singular Examples via Big Code.

[SANER ’19] Luyao Ren, Shurui Zhou, Christian Kästner, Andrzej Wąsowski. Identifying Redundancies in Fork-based Development. [paper] [slides] [code]

Posters

[ESEC/FSE ’19 SRC] Luyao Ren. Automated Patch Porting across Forked Projects. [poster] [paper]

[ICSE ’18 Posters] Luyao Ren, Shurui Zhou, Christian Kästner. Forks Insight: Providing an Overview of GitHub Forks. [poster] [paper] [tool] [code]

Side Projects

L4CS (Language for Code Search) is a language to define patterns for syntax-based code search with abstraction. [slides] [code]

DIDO (Duplicate Issues Detector) is a tool for detecting duplicate issues on GitHub repositories. Similar feature has already shipped into GitHub. See the story here. [code]