From Logic to Learning: Rethinking Programming for the AI Era
In this talk, I will present approaches that leverage the precision of formal logic and the adaptability of learning-based models to enable intelligent code generation, automated …
InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignments
This paper proposes InvAASTCluster, a novel approach for program clustering that uses dynamically generated program invariants to cluster semantically equivalent IPAs.
Counterexample Guided Program Repair Using Large Language Models and MaxSAT-based Fault Localization
In this talk I will present a hybrid method to automated repair of C code, using Maximum Satisfiability (MaxSAT)-based fault localization, CFaults, to localize bugs and LLMs to …
📄 Paper accepted @ the Journal of Systems and Software 2025!! 🎉
I am very happy to share that our paper on program clustering has been accepted at the JSS December 2025!! 🎉
MENTOR: Automated Feedback for Introductory Programming Exercises
In my talk, I will present MENTOR, a semantic automated program repair (APR) framework designed to provide Automated Feedback for Introductory Programming Exercises.
MENTOR: Feedback Automático para Exercícios Introdutórios de Programação (Portuguese)
Nesta palestra, irei apresentar o sistema MENTOR, uma ferramenta de reparação automática de programas orientada para fornecer feedback automatizado para exercícios introdutórios de …
🏆 Honored to Receive the Vencer o Adamastor (VoA) Award 2025!! 🏆
I am thrilled to share that I was the recipient of the Vencer o Adamastor 2025 prize, which acknowledges innovative contributions by young scientists in Portugal. 🎉 🎉
MENTOR: Automated Feedback for Introductory Programming Exercises
This PhD thesis presents MENTOR, a semantic automated program repair (APR) framework designed to provide Automated Feedback for Introductory Programming Exercises.
👨🎓 PhD Awarded Summa Cum Laude in Computer Science!! 🧑💻
I am extremely happy to share that, I have been awarded my PhD summa cum laude in Computer Science and Engineering!
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
In this talk I will present our novel approach that combines the strengths of both FM-based fault localization and LLMs, via zero-shot learning, to enhance Automated Program …
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
In this paper, we propose a novel approach that combines the strengths of both FM-based fault localization and LLMs, via zero-shot learning, to enhance APR for IPAs. Our method …
📄 Paper accepted @ AAAI 2025!! 🎉
I am very happy to share that our paper that combines the strengths of both MaxSAT-based fault localisation and Large Language Models, via zero-shot learning, to enhance automated …
LLM-Driven Automated Program Repair Using MaxSAT-based Fault Localization
In this talk I will present a hybrid method to automated repair of C code, using Maximum Satisfiability (MaxSAT)-based fault localization, CFaults, to localize bugs and LLMs to …
Automated Feedback for Introductory Programming Exercises
Delivering valuable and personalised feedback to students remains one of the greatest challenges in programming education, particularly in courses with large enrollments. Providing …
C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments
In this talk I will present C-Pack-IPAs, a publicly available benchmark comprising student-program submissions for 25 distinct introductory programming assignments (IPAs).