89 citations · 109 across the 14 of their papers we have counts for
5 papers · 1 filter
Condor: A Code Discriminator Integrating General Semantics with Code Details
Qingyuan Liang, Zhao Zhang, Chen Liu +9
LLMs demonstrate significant potential across various software engineering tasks. However, they still face challenges in generating correct code on the first attempt when addressin…
An Empirical Study on the Potential of LLMs in Automated Software Refactoring
Bo Liu, Yanjie Jiang, Yuxia Zhang +3
Recent advances in large language models (LLMs), make it potentially feasible to automatically refactor source code with LLMs. However, it remains unclear how well LLMs perform com…
Evaluating and Improving ChatGPT-Based Expansion of Abbreviations
Yanjie Jiang, Hui Liu, Lu Zhang
Source code identifiers often contain abbreviations. Such abbreviations may reduce the readability of the source code, which in turn hinders the maintenance of the software applica…
Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities
Xiangping Chen, Xing Hu, Yuan Huang +23
Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language p…
A Survey of Deep Learning Based Software Refactoring
Bridget Nyirongo, Yanjie Jiang, He Jiang +1
Refactoring is one of the most important activities in software engineering which is used to improve the quality of a software system. With the advancement of deep learning techniq…