activity
20212025
most citedUsing Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery

21 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2025

Brevity is the Soul of Wit: Condensing Code Changes to Improve Commit Message Generation

Hongyu Kuang, Ning Zhang, Hui Gao +6

Commit messages are valuable resources for describing why code changes are committed to repositories in version control systems (e.g., Git). They effectively help developers unders…

cs.SE2024

AVIATE: Exploiting Translation Variants of Artifacts to Improve IR-based Traceability Recovery in Bilingual Software Projects

Kexin Sun, Yiding Ren, Hongyu Kuang +5

Traceability plays a vital role in facilitating various software development activities by establishing the traces between different types of artifacts (e.g., issues and commits in…

cs.SE2024★ 9 cited

TRIAD: Automated Traceability Recovery based on Biterm-enhanced Deduction of Transitive Links among Artifacts

Hui Gao, Hongyu Kuang, Wesley K. G. Assunção +5

Traceability allows stakeholders to extract and comprehend the trace links among software artifacts introduced across the software life cycle, to provide significant support for so…

cs.SE2022★ 21 cited

Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery

Hui Gao, Hongyu Kuang, Kexin Sun +6

Traceability approves trace links among software artifacts based on whether two artifacts are related by system functionalities. The traces are valuable for software development, b…

cs.SE2021

Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text

Kexin Sun, Hui Gao, Hongyu Kuang +4

Sentiment analysis on software engineering (SE) texts has been widely used in the SE research, such as evaluating app reviews or analyzing developers sentiments in commit messages.…