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✨ 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. πŸš€


πŸ‘₯ Members

  • Rui Abreu β€” Group Leader
  • Alexandre Perez
  • Thomas Durieux
  • Luis Cruz
  • Sofia Reis
  • Bruno Sotto-Mayor
  • JoΓ£o Ferreira
  • Ricardo Martins
  • Francisco Ribeiro
  • Nuno Sabino
  • David Coimbra
  • Eduard Pinconschi
  • ClΓ‘udia Mamede
  • LuΓ­s Gomes
  • Rui Melo

πŸ§ͺ Projects

Project Description
GZoltar Automatic Testing & Debugging using Spectrum-based Fault Localization (SFL)
GZoltar-plugin VS Code plugin with all GZoltar commands integrated
Physalia Energy measurement framework for mobile apps
Leafactor Automatic refactoring tool for improving energy efficiency in Android apps
Energy Patterns Open database of energy-related design patterns for mobile apps (iOS & Android)
Android Test Inspector Android App Hall of Fame
Pangolin Software visualization toolset for feature localization
SecBench Database of real-world security vulnerabilities
SECOM Convention for Security Commit Messages
VDET Transformer-based VS Code extension for detecting Java vulnerabilities
Tandem-FL Test minimizer based on Mozilla’s Lithium tool

πŸ“š Selected Publications

πŸ“˜ 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.

πŸ“˜ 2022

  • ClΓ‘udia Mamede et al. Transformer-based IDE plugin for vulnerability detection. ASE'22.
  • Sofia Reis et al. Improving a Security Linter with Feedback. ASE'22.
  • πŸ† 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.

πŸ“˜ 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.

πŸ“˜ 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.

πŸ“˜ 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 β€” we’d love to hear from you!

πŸ“« Email: rui [at] computer.org

β€œShining light on the dark matter of software systems.” ✨