39 citations · 84 across the 12 of their papers we have counts for
5 papers · 1 filter
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning
Mingyang Geng, Shangwen Wang, Dezun Dong +5
Code comment generation aims at generating natural language descriptions for a code snippet to facilitate developers' program comprehension activities. Despite being studied for a…
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
Deze Wang, Zhouyang Jia, Shanshan Li +4
With the great success of pre-trained models, the pretrain-then-finetune paradigm has been widely adopted on downstream tasks for source code understanding. However, compared to co…
ConfInLog: Leveraging Software Logs to Infer Configuration Constraints
Shulin Zhou, Xiaodong Liu, Shanshan Li +5
Misconfigurations have become the dominant causes of software failures in recent years, drawing tremendous attention for their increasing prevalence and severity. Configuration con…
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search
Chen Zeng, Yue Yu, Shanshan Li +6
With the rapid increase in the amount of public code repositories, developers maintain a great desire to retrieve precise code snippets by using natural language. Despite existing…
DepOwl: Detecting Dependency Bugs to Prevent Compatibility Failures
Zhouyang Jia, Shanshan Li, Tingting Yu +5
Applications depend on libraries to avoid reinventing the wheel. Libraries may have incompatible changes during evolving. As a result, applications will suffer from compatibility f…