4 citations · 11 across the 10 of their papers we have counts for
5 papers · 1 filter
Assessing UML Diagrams by GPT: Implications for Education
Chong Wang, Beian Wang, Peng Liang +1
In software engineering (SE) research and practice, UML is well known as an essential modeling methodology for requirements analysis and software modeling in both academia and indu…
RAG-Enhanced Commit Message Generation
Linghao Zhang, Hongyi Zhang, Chong Wang +1
Commit message is one of the most important textual information in software development and maintenance. However, it is time-consuming to write commit messages manually. Commit Mes…
How LLMs Aid in UML Modeling: An Exploratory Study with Novice Analysts
Beian Wang, Chong Wang, Peng Liang +2
Since the emergence of GPT-3, Large Language Models (LLMs) have caught the eyes of researchers, practitioners, and educators in the field of software engineering. However, there ha…
Using Large Language Models for Commit Message Generation: A Preliminary Study
Linghao Zhang, Jingshu Zhao, Chong Wang +1
A commit message is a textual description of the code changes in a commit, which is a key part of the Git version control system (VCS). It captures the essence of software updating…
An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors
Jiaxin Yu, Peng Liang, Yujia Fu +4
Security code review is a time-consuming and labor-intensive process typically requiring integration with automated security defect detection tools. However, existing security anal…