✨ TQRG - The Quasar Research Group

Welcome to TQRG - The Quasar Research Group, led by Rui Abreu. We are a passionate, interdisciplinary team tackling challenges in software testing, debugging, security, energy efficiency, and machine learning.

Our mission is to create cutting-edge tools and methodologies that enhance software quality, performance, and sustainability. 🚀

👥 Members

• Rui Abreu — Group Leader
• Alexandre Perez
• Thomas Durieux
• Luis Cruz
• Sofia Reis
• Bruno Sotto-Mayor
• João Ferreira
• Ricardo Martins
• Francisco Ribeiro
• Nuno Sabino
• David Coimbra
• Eduard Pinconschi
• Cláudia Mamede
• Luís Gomes
• Rui Melo

🧪 Projects

📚 Selected Publications

📘 2023

• Gabriela K Michelon et al. Spectrum-based feature localization for families of systems. JSS.
• Francisco Ribeiro et al. GPT-3-Powered Type Error Debugging. SLE'23.

📘 2022

• Cláudia Mamede et al. Transformer-based IDE plugin for vulnerability detection. ASE'22.
• Sofia Reis et al. Improving a Security Linter with Feedback. ASE'22.
• 🏆 MSR 2022 Foss Impact Paper Award: SECOM: Security Commit Message Convention. MSR'22.
• Eduard Pinconschi et al. Maestro: Program Repair Benchmarking Platform. ISSTA'22.
• Francisco Ribeiro et al. Framing Program Repair as Code Completion. APR'22.

📘 2021

• David Coimbra et al. Detecting C Security Vulnerabilities with Source Code Representations. DX'21.
• Sofia Reis et al. Fixing vulnerabilities potentially hinders maintainability. EMSE.
• Rui Abreu et al. Reducing Time-To-Fix for Fuzzer Bugs. ASE'21.

📘 2020–2018

• Bruno Sotto-Mayor et al. Smell-Based Defect Prediction with Designite. DX'20.
• Thomas Durieux et al. Empirical Study of Flaky Builds on Travis CI. MSR'20.
• Luis Cruz & Rui Abreu. Energy Pattern Catalog. EMSE.
• Alexandre Perez et al. Qualitative Reasoning for Fault Localization. IJCAI / ICSE.

📘 2017 and earlier

• Sofia Reis & Rui Abreu. SECBENCH: A Database of Security Vulnerabilities. ESORICS'17.
• Luis Cruz et al. Leafactor: Automatic Refactoring for Energy. MOBILESoft'17.
• Alexandre Perez et al. Test-Suite Diagnosability Metric. ICSE'17.

For the full list of publications, visit our Google Scholar profiles or institutional page.

🤝 Join Us / Get in Touch

We welcome collaborations, student researchers, and industry partners. Whether you're curious about energy-efficient apps, AI-powered debugging, or software security — we’d love to hear from you!

📫 Email: rui [at] computer.org

“Shining light on the dark matter of software systems.” ✨