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Computer Science

D-Index
40
Citations
6726
World Ranking
9311
National Ranking
224

Overview

Romain Robbes is affiliated with the University of Bordeaux in France and has contributed extensively to the field of computer science, with a focus on software engineering research. Their research output spans multiple aspects of software engineering, including software system performance, reliability, natural language processing techniques, and software testing and debugging techniques.

Robbes' work has addressed the challenges faced in software engineering from empirical, performance, and machine learning perspectives. Their notable recent publications include:

  • Empirical Standards for Software Engineering Research, 2020, arXiv (Cornell University)
  • Big Code!= Big Vocabulary: Open-Vocabulary Models for Source Code, 2020, arXiv (Cornell University)
  • Making the most of small Software Engineering datasets with modern machine learning, 2021, IEEE Transactions on Software Engineering
  • The ACM SIGSOFT Paper and Peer Review Quality Initiative, 2020, ACM SIGSOFT Software Engineering Notes
  • Characteristics of method extractions in Java: a large scale empirical study, 2020, Empirical Software Engineering

In collaboration, Robbes has frequently published with several co-authors, including Andrea Janes, Hlib Babii, Charles Sutton, Rafael-Michael Karampatsis, and Julian Aron Prenner. These collaborations have produced research covering various subdomains within computer science.

The venues where Robbes has regularly published are diverse, reflecting their broad research interests and activities. The most frequent publication venues are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Software Engineering
  • Empirical Software Engineering
  • OPAL (Open@LaTrobe) (La Trobe University)

Robbes' main fields of study focus on computer science overall, while their more specific subfields include:

  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Software
  • Signal Processing

Their core research topics showcase an emphasis on software engineering research, software system performance and reliability, as well as natural language processing and software testing, along with specialized areas like topic modeling, advanced malware detection techniques, and computational physics with Python applications, as indicated by publication counts across these topics:

  • Software Engineering Research
  • Software System Performance and Reliability
  • Natural Language Processing Techniques
  • Software Testing and Debugging Techniques
  • Topic Modeling
  • Advanced Malware Detection Techniques
  • Computational Physics and Python Applications

Best Publications

  • An extensive comparison of bug prediction approaches

    Marco D'Ambros;Michele Lanza;Romain Robbes

  • Evaluating defect prediction approaches: a benchmark and an extensive comparison

    Marco D'Ambros;Michele Lanza;Romain Robbes

  • Software systems as cities: a controlled experiment

    Richard Wettel;Michele Lanza;Romain Robbes

  • Linking e-mails and source code artifacts

    Alberto Bacchelli;Michele Lanza;Romain Robbes

  • Big code != big vocabulary: open-vocabulary models for source code

    Rafael-Michael Karampatsis;Hlib Babii;Romain Robbes;Charles Sutton

  • How do developers react to API deprecation?: the case of a smalltalk ecosystem

    Romain Robbes;Mircea Lungu;David Röthlisberger

  • How Program History Can Improve Code Completion

    R. Robbes;M. Lanza

  • A Change-based Approach to Software Evolution

    Romain Robbes;Michele Lanza

  • On the Relationship Between Change Coupling and Software Defects

    Marco D'Ambros;Michele Lanza;Romain Robbes

  • The Small Project Observatory: Visualizing software ecosystems

    Mircea Lungu;Michele Lanza;Tudor Gîrba;Romain Robbes

  • Can OpenAI's Codex Fix Bugs?: An evaluation on QuixBugs

    Unknown

  • SpyWare: a change-aware development toolset

    Romain Robbes;Michele Lanza

  • Improving code completion with program history

    Romain Robbes;Michele Lanza

  • An empirical study on the impact of static typing on software maintainability

    Stefan Hanenberg;Sebastian Kleinschmager;Romain Robbes;Éric Tanter

  • How do API documentation and static typing affect API usability

    Stefan Endrikat;Stefan Hanenberg;Romain Robbes;Andreas Stefik

  • How (and why) developers use the dynamic features of programming languages: the case of smalltalk

    Oscar Callaú;Romain Robbes;Éric Tanter;David Röthlisberger

  • Empirical Standards for Software Engineering Research

    Paul Ralph;Nauman bin Ali;Sebastian Baltes;Domenico Bianculli

  • Mining a Change-Based Software Repository

    Romain Robbes

  • Proceedings of the 13th International Conference on Mining Software Repositories

    Miryung Kim;Romain Robbes;Christian Bird

  • How do developers react to API evolution? The Pharo ecosystem case

    Andre Hora;Romain Robbes;Nicolas Anquetil;Anne Etien

  • Recovering inter-project dependencies in software ecosystems

    Mircea Lungu;Romain Robbes;Michele Lanza

  • Do static type systems improve the maintainability of software systems? An empirical study

    Sebastian Kleinschmager;Romain Robbes;Andreas Stefik;Stefan Hanenberg

  • Versioning systems for evolution research

    R. Robbes;M. Lanza

Frequent Co-Authors

Michele Lanza
Michele Lanza Universita della Svizzera Italiana
Éric Tanter
Éric Tanter University of Chile
Marco Tulio Valente
Marco Tulio Valente Universidade Federal de Minas Gerais
Stéphane Ducasse
Stéphane Ducasse University of Lille
Charles Sutton
Charles Sutton Google (United States)
Alberto Bacchelli
Alberto Bacchelli University of Zurich
Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Meiyappan Nagappan
Meiyappan Nagappan University of Waterloo
Audris Mockus
Audris Mockus University of Tennessee at Knoxville
Shane McIntosh
Shane McIntosh McGill University

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