Antonio Mastropaolo
but you can call me Ndònio 😄
Williamsburg VA, United States of America 🇺🇸
McGlothlin-Street Hall, 251 Jamestown Rd
Office #014
Dr. Antonio Mastropaolo is an Assistant Professor of Computer Science at William & Mary, USA. His research lies at the intersection of Artificial Intelligence (AI), Natural Language Processing (NLP), and Software Engineering (SE), with a strong emphasis on the automation of SE-related practices.
His work promotes explainability, efficiency, and optimization from both a model-centric perspective (e.g., robustness and adaptability of foundation models such as GitHub Copilot) and an output-centric perspective (e.g., documentation and summarization of code components). More broadly, his research addresses the reliability and efficiency of AI systems for SE, advancing next-generation intelligent tools that improve transparency, scalability, and developer productivity.
news
📝 Excited to announce our paper "An Empirical Study on Language Models for Generating Log Statements in Test Code" is now published in ACM Transactions on Software Engineering and Methodology (TOSEM). Read it here: TOSEM.
⚙️ Our work "Is Quantization a Deal-breaker? Empirical Insights from Large Code Models" has been accepted at ICSME 2025 🎉. Preprint available: arXiv:2507.09665.
🧩 Our position paper "A Path Less Traveled: Reimagining Software Engineering Automation via a Neurosymbolic Paradigm" is presented at the AI-SDLC Workshop, co-located with FSE 2025. More details: Workshop page.
🎉💡 Excited to share that our research has been awarded an NSF Grant (#2451058)
Grateful for the support and looking forward to advancing efficient and responsible AI for software engineering.
🏆🏆 Glad to receive two (2) Distinguished Reviewer Award for my service on the program committees of FSE'25 (Main Technical Track & Demonstrations Track)FSE 2025
🔥 Fantastic news! The position paper co-authored with Denys Poshyvanyk "A Path Less Traveled: Reimagining Software Engineering Automation via a Neurosymbolic Paradigm", has been accepted to the International Workshop on Envisioning the AI-Augmented Software Development Life Cycle 🎉
🔥 Great news! Our paper, "Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?", has been accepted to ICPC 2025 Research Track 🎉
🌟 New exciting news for the lab! Our paper, "Toward Neuro Symbolic Program Comprehension", has been accepted to ICPC ERA 2025 🎉
Thanks to my amazing collaborators: Alejandro Velasco, Aya Garryyeva, David Nader Palacio, and Denys Poshyvanyk.
🎉 Exciting news! Saima starts her PhD journey with a publication in the FORGE 2025 Research Track! 🚀 Stay tuned for the pre-print: "Resource-Efficient & Effective Code Summarization".
🏆 Glad to receive the Distinguished Reviewer Award at ASE 2024