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• Practices and Challenges of Using GitHub Copilot: An Empirical Study
  2023 · 49 citations
• Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot
  2023 · 22 citations
• Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study
  2023 · 12 citations
• Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot
  2024 · 7 citations
• Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects
  2023 · 5 citations
• An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors
  2024 · 2 citations
• On Developers' Self-Declaration of AI-Generated Code: An Analysis of Practices
  2025 · 1 citations
• On Unified Prompt Tuning for Request Quality Assurance in Public Code Review
  2024 · 1 citations
• A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Code Smell Detection
  2024 · 1 citations
• A Survey of Bugs in AI-Generated Code
  2025
• Designing LLM-based Multi-Agent Systems for Software Engineering Tasks: Quality Attributes, Design Patterns and Rationale