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Computer Science

D-Index
39
Citations
9092
World Ranking
9582
National Ranking
24

Overview

Rui Abreu is affiliated with the University of Porto in Portugal and focuses primarily on computer science research. Their work spans several subfields including information systems, software, artificial intelligence, signal processing, and computer networks and communications.

Their research topics cover a diverse range of areas such as:

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Software Reliability and Analysis Research
  • Quantum Computing Algorithms and Architecture
  • Advanced Malware Detection Techniques
  • Cloud Computing and Resource Management
  • Scientific Computing and Data Management

Recent publications by Rui Abreu include:

  • "Multiple fault localization of software programs: A systematic literature review" (2020) in Information and Software Technology
  • "When software engineering meets quantum computing" (2022) in Communications of the ACM
  • "Mutation Testing of Quantum Programs: A Case Study With Qiskit" (2022) in IEEE Transactions on Quantum Engineering
  • "SmartBugs: A Framework to Analyze Solidity Smart Contracts" (2020) in arXiv (Cornell University)
  • "Syrius: Synthesis of Rules for Intrusion Detectors" (2021) in IEEE Transactions on Reliability

Rui Abreu has co-authored frequently with several researchers including Bruno Sotto-Mayor, Peter C. Rigby, Thomas Durieux, Meir Kalech, and Luís Cruz.

Their publications have appeared predominantly in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), ACM SIGSOFT Software Engineering Notes, the IEEE/ACM International Conference on Automated Software Engineering (ASE), and Information and Software Technology.

In addition to journal and conference papers, Rui Abreu has authored books published by World Scientific. One notable example is Artificial Intelligence Methods for Software Engineering, published in 2021.

Best Publications

  • A Survey on Software Fault Localization

    W. Eric Wong;Ruizhi Gao;Yihao Li;Rui Abreu

  • On the Accuracy of Spectrum-based Fault Localization

    R. Abreu;P. Zoeteweij;A.J.C. van Gemund

  • An Evaluation of Similarity Coefficients for Software Fault Localization

    R. Abreu;P. Zoeteweij;A.J.C. van Gemund

  • A practical evaluation of spectrum-based fault localization

    Rui Abreu;Peter Zoeteweij;Rob Golsteijn;Arjan J. C. van Gemund

  • Spectrum-Based Multiple Fault Localization

    Rui Abreu;Peter Zoeteweij;Arjan J. C. van Gemund

  • Evaluating and improving fault localization

    Spencer Pearson;Jose Campos;Rene Just;Gordon Fraser

  • Empirical review of automated analysis tools on 47,587 Ethereum smart contracts

    Thomas Durieux;Joao F. Ferreira;Rui Abreu;Pedro Cruz

  • GZoltar: an eclipse plug-in for testing and debugging

    Jose Campos;Andre Riboira;Alexandre Perez;Rui Abreu

  • Threats to the validity and value of empirical assessments of the accuracy of coverage-based fault locators

    Friedrich Steimann;Marcus Frenkel;Rui Abreu

  • Classifying heart sound recordings using deep convolutional neural networks and mel-frequency cepstral coefficients

    Jonathan Rubin;Rui Abreu;Anurag Ganguli;Saigopal Nelaturi

  • SmartBugs: a framework to analyze solidity smart contracts

    Joao F. Ferreira;Pedro Cruz;Thomas Durieux;Rui Abreu

  • A Comparative Study of Classification and Regression Algorithms for Modelling Students' Academic Performance.

    Pedro Strecht;Luís Cruz;Carlos Soares;João Mendes-Moreira

  • A Low-Cost Approximate Minimal Hitting Set Algorithm and Its Application to Model-Based Diagnosis ∗

    Rui Abreu;Arjan J. C. van Gemund

  • Zoltar: A Toolset for Automatic Fault Localization

    Tom Janssen;Rui Abreu;Arjan J. C. van Gemund

  • Empirical review of Java program repair tools: a large-scale experiment on 2,141 bugs and 23,551 repair attempts

    Thomas Durieux;Fernanda Madeiral;Matias Martinez;Rui Abreu

  • Performance-based guidelines for energy efficient mobile applications

    Luis Cruz;Rui Abreu

  • Catalog of energy patterns for mobile applications

    Luis Cruz;Rui Abreu

  • Entropy-based test generation for improved fault localization

    Jose Campos;Rui Abreu;Gordon Fraser;Marcelo d'Amorim

  • A test-suite diagnosability metric for spectrum-based fault localization approaches

    Alexandre Perez;Rui Abreu;Arie van Deursen

  • On the empirical evaluation of fault localization techniques for spreadsheets

    Birgit Hofer;André Riboira;Franz Wotawa;Rui Abreu

  • Multiple fault localization of software programs: A systematic literature review

    Abubakar Zakari;Sai Peck Lee;Rui Abreu;Babiker Hussien Ahmed

Frequent Co-Authors

Johan de Kleer
Johan de Kleer Palo Alto Research Center
Daniel G. Bobrow
Daniel G. Bobrow Palo Alto Research Center
Gordon Fraser
Gordon Fraser University of Passau
Martin Monperrus
Martin Monperrus Royal Institute of Technology
David Garlan
David Garlan Carnegie Mellon University
Arie van Deursen
Arie van Deursen Delft University of Technology
Claire Le Goues
Claire Le Goues Carnegie Mellon University
Tegawendé F. Bissyandé
Tegawendé F. Bissyandé University of Luxembourg
Bradley Schmerl
Bradley Schmerl Carnegie Mellon University
Andrea Arcuri
Andrea Arcuri Kristiania University College

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