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• On Learning Meaningful Code Changes via Neural Machine Translation
  2019 · 209 citations
• Using Pre-Trained Models to Boost Code Review Automation
  2022 · 146 citations
• On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot
  2023 · 115 citations
• Using Deep Learning to Generate Complete Log Statements
  2022 · 60 citations
• Evaluating SZZ Implementations Through a Developer-informed Oracle
  2021 · 42 citations
• To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set?
  2022 · 28 citations
• An Empirical Study on Code Comment Completion
  2021 · 16 citations
• Automating Code-Related Tasks Through Transformers: The Impact of Pre-training
  2023 · 15 citations
• Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks
  2021 · 9 citations
• Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation
  2025 · 7 citations
• Using Transfer Learning for Code-Related Tasks
  2022 · 5 citations
• On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization
  2025 · 4 citations
• An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
  2018 · 4 citations
• On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions
  2024 · 4 citations
• Enhancing Code Generation for Low-Resource Languages: No Silver Bullet
  2025 · 3 citations