The AURA Lab
(A)I for (U)nderstandable and (R)esponsible (A)utomation in Software Engineering

The AURA Lab, founded in Fall 2024, is dedicated to advancing research at the intersection of efficiency, automation, and interpretability in software engineering. Our mission is to create innovative and responsible AI-driven solutions that propel the field forward while addressing the critical challenges of AI transparency and AI sustainability. By leveraging collaboration, state-of-the-art methodologies, and a commitment to impactful research, the AURA Lab aims to make meaningful contributions to the evolution of automated software engineering, benefiting academia, industry, and society at large.
news
Apr 28, 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 for publication in the AI-SDLC 2025 The workshop is co-located with the ACM International Conference on the Foundations of Software Engineering (FSE'25) -- Trondheim, Norway 🇳🇴 |
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Apr 15, 2025 | 🏆🏆🏆 Big Win!!! -- Thrilled to annource our NSF CRII SHF: Advancing Sustainable Software Engineering Practices with Energy-Efficient Large Language Models for Code (2451058) PI: Antonio Mastropaolo. June 1, 2025 - May 31, 2027 |
Jan 13, 2025 | 🎉 Exciting news for Saima! She begins her PhD journey with a publication in the FORGE 2025 Research Track! 🚀 👏 Stay tuned for the pre-print, "Resource-Efficient & Effective Code Summarization". 🌟 |
Jan 12, 2025 | 🌟 Exciting news! Our paper, "Toward Neuro Symbolic Program Comprehension", has been accepted for publication in the ICPC ERA 2025, part of the 33rd IEEE/ACM International Conference on Program Comprehension 🎉 👏 A big thank you to my incredible collaborators: Alejandro Velasco, Aya Garryyeva, David Nader Palacio, and Denys Poshyvanyk. 🚀 |
Jan 12, 2025 | 🔥 Exciting update! Our paper, "Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?", has been accepted to the ICPC 2025 Research Track 🎉 (33rd IEEE/ACM International Conference on Program Comprehension). 👏 Shout out to: Antonio Vitale, Simone Scalabrino, Max Di Penta, and Rocco Oliveto. 🚀 |