activity
20232026
most citedImproving Automated Code Reviews: Learning from Experience

11 citations · 13 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SE2026

Agentic Code Review in the Terminal: A Trajectory-Level Analysis of Behavior, Cost, and Human-Alignment

Wachiraphan Charoenwet, Kla Tantithamthavorn, Patanamon Thongtanunam +3

Agentic code review in terminal-based environments enables early feedback during local development before pull request creation. However, existing evaluations remain performance-ce…

cs.CR2026

Following Dragons: Code Review-Guided Fuzzing

Viet Hoang Luu, Amirmohammad Pasdar, Wachiraphan Charoenwet +3

Modern fuzzers scale to large, real-world software but often fail to exercise the program states developers consider most fragile or security-critical. Such states are typically de…

cs.CR2026

AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection

Wachiraphan Charoenwet, Kla Tantithamthavorn, Patanamon Thongtanunam +3

Secure code review is critical during pre-integration, where Atlassian developers rely on lightweight analysis tools, while deep security assessment is deferred to later stages, de…

cs.SE2026

HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation

Kla Tantithamthavorn, Hong Yi Lin, Patanamon Thongtanunam +3

Large Language models (LLMs) have shown strong capabilities in code review automation, such as review comment generation, yet they suffer from hallucinations -- where the generated…

cs.SE2025

Enhancing Code Review through Fuzzing and Likely Invariants

Wachiraphan Charoenwet, Patanamon Thongtanunam, Van-Thuan Pham +1

Many software projects employ manual code review to gatekeep defects and vulnerabilities in the code before integration. However, reviewers often work under time pressure and rely…

cs.SE2024

Leveraging Reviewer Experience in Code Review Comment Generation

Hong Yi Lin, Patanamon Thongtanunam, Christoph Treude +3

Modern code review is a ubiquitous software quality assurance process aimed at identifying potential issues within newly written code. Despite its effectiveness, the process demand…

cs.SE2024★ 1 cited

An Empirical Study of Static Analysis Tools for Secure Code Review

Wachiraphan Charoenwet, Patanamon Thongtanunam, Van-Thuan Pham +1

Early identification of security issues in software development is vital to minimize their unanticipated impacts. Code review is a widely used manual analysis method that aims to u…

cs.SE2024★ 11 cited

Improving Automated Code Reviews: Learning from Experience

Hong Yi Lin, Patanamon Thongtanunam, Christoph Treude +1

Modern code review is a critical quality assurance process that is widely adopted in both industry and open source software environments. This process can help newcomers learn from…

cs.SE2023★ 1 cited

Toward Effective Secure Code Reviews: An Empirical Study of Security-Related Coding Weaknesses

Wachiraphan Charoenwet, Patanamon Thongtanunam, Van-Thuan Pham +1

Identifying security issues early is encouraged to reduce the latent negative impacts on software systems. Code review is a widely-used method that allows developers to manually in…