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• Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward
  2024 · 61 citations
• A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why?
  2024 · 3 citations
• Evaluating LLMs Effectiveness in Detecting and Correcting Test Smells: An Empirical Study
  2025 · 1 citations
• Human or LLM? A Comparative Study on Accessible Code Generation Capability
  2025 · 1 citations
• An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far Are We?
  2024 · 1 citations
• Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories
  2024
• Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message
  2025
• Context Conquers Parameters: Outperforming Proprietary LLM in Commit Message Generation
  2024
• Bug Analysis in Jupyter Notebook Projects: An Empirical Study
  2022
• Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance
  2024