|
|
--- |
|
|
title: README |
|
|
emoji: 📚 |
|
|
colorFrom: gray |
|
|
colorTo: purple |
|
|
sdk: static |
|
|
pinned: false |
|
|
thumbnail: >- |
|
|
https://cdn-uploads.huggingface.co/production/uploads/622f26eb163b4ef6fd7a5361/BMEbzwYnxWrgVhs6MA1aM.jpeg |
|
|
--- |
|
|
|
|
|
# ✨ 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 |
|
|
|
|
|
| Project | Description | |
|
|
|--------|-------------| |
|
|
| **[GZoltar](https://github.com/GZoltar/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 | |
|
|
|
|
|
--- |
|
|
|
|
|
## 📚 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.”_ ✨ |