Chakkrit Tantithamthavorn

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues

2024 · 112 Zit. · ACM Transactions on Software Engineering and Methodology

Ethics in the Age of AI: An Analysis of AI Practitioners’ Awareness and Challenges

2023 · 61 Zit. · ACM Transactions on Software Engineering and Methodology

Search-based fairness testing for regression-based machine learning systems

2022 · 27 Zit. · Empirical Software Engineering

Ethics in AI through the practitioner’s view: a grounded theory literature review

2024 · 24 Zit. · Empirical Software Engineering

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues

2023 · 15 Zit. · arXiv (Cornell University)

Navigating fairness: practitioners’ understanding, challenges, and strategies in AI/ML development

2025 · 4 Zit. · Empirical Software Engineering

Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian

2025 · 1 Zit.

Challenges and opportunities in using ChatGPT as a team member to promote code review education and self-regulated learning

2024 · 0 Zit. · ASCILITE Publications