← authors · overview

• On Learning Meaningful Code Changes via Neural Machine Translation
  2019 · 209 citations
• Using Pre-Trained Models to Boost Code Review Automation
  2022 · 146 citations
• Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps
  2018 · 41 citations
• Enhancing Mobile App Bug Reporting via Real-time Understanding of Reproduction Steps
  2022 · 23 citations
• Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks
  2021 · 9 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
• How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study
  2024 · 3 citations
• Toward Neurosymbolic Program Comprehension
  2025 · 2 citations
• Evaluating and Explaining Large Language Models for Code Using Syntactic Structures
  2023 · 2 citations
• Prompting in Practice: Investigating Software Practitioners' Use of Generative AI Tools
  2025
• UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation
  2025
• On the Generalizability of Transformer Models to Code Completions of Different Lengths
  2025