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• Using Pre-Trained Models to Boost Code Review Automation
  2022 · 146 citations
• Evaluating SZZ Implementations Through a Developer-informed Oracle
  2021 · 42 citations
• Code Review Automation: Strengths and Weaknesses of the State of the Art
  2024 · 42 citations
• Automating Code-Related Tasks Through Transformers: The Impact of Pre-training
  2023 · 15 citations
• Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation
  2025 · 7 citations
• On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization
  2025 · 4 citations
• Developers and Generative AI: A Study of Self-Admitted Usage in Open Source Projects
  2026
• Improving Code Generation via Small Language Model-as-a-judge
  2026
• Studying Quality Improvements Recommended via Manual and Automated Code Review
  2026
• Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization
  2026
• On the Generalizability of Transformer Models to Code Completions of Different Lengths
  2025
• SEART Data Hub: Streamlining Large-Scale Source Code Mining and Pre-Processing
  2024