4 citations · 9 across the 11 of their papers we have counts for
6 papers · 1 filter
CAMGen: A Core Change-Aware Multi-View Framework for Commit Message Generation
Bo Xiong, Weisheng Chen, Zongen Ren +5
Commit messages help developers understand code changes and support software maintenance. Recent approaches use repository context to improve commit message generation (CMG) with l…
UML Class Diagram Evaluation and Repair Strategies based on LLMs
Jie Liang, Peng Liang, Chong Wang
UML class diagrams are a crucial tool for defining the structure of software systems, but designing accurate and comprehensive class diagrams is a challenging task. Traditionally,…
LLM-Enhanced Commit Message Generation via Issue Information: An Exploratory Study
Zongen Ren, Wei Shi, Bo Xiong +2
Commit messages help developers understand code changes, support collaboration, and improve long-term maintenance. However, the use of issue information alone as the external conte…
On the Stability of Prompt Ranking in Large Language Model Evaluation
Shaoshuai Du, Penghao Liang, Yixian Shen +3
Prompt-based interaction has become a dominant paradigm for using large language models (LLMs), where multiple candidate prompts are evaluated and the top-ranked one is selected fo…
CoRaCommit: A VS Code Extension for Commit Message Generation with Exemplar Retrieval
Chaoran Cai, Bo Xiong, Chong Wang +2
Commit messages are essential textual artifacts that describe the intent behind code changes, and play a critical role in version control, code review, and historical tracking. How…
Assessing Language Models for Salient Class Identification
Bo Xiong, Chaoran Cai, Zongen Ren +3
Code review requires reviewers to understand the core intent of code changes, which becomes difficult when a commit modifies multiple classes. In such commits, one or more primaril…