Guangjie Li

Guangjie Li is a researcher at the National Innovation Institute of Defense Technology, actively contributing to software engineering research through publications in premier conferences including ASE, ESEC/FSE, and SANER. His work bridges theoretical program analysis with practical machine learning applications for software development challenges.

His research focuses on:

• Fault localization techniques enhanced by statement-level error analysis
• Deep learning-driven detection of code smells like feature envy
• Automated extraction of program elements across software versions
• Empirical validation using real-world codebases
• Integration of version control data in program analysis

Recent publications demonstrate a consistent trajectory toward machine learning augmentation of traditional software engineering tasks, particularly in debugging and code quality assessment. His methodologies emphasize practical applicability through real-world example integration, addressing critical gaps in automated software maintenance.