World's Best Scientists 2026 revealed!
Stéphane Ducasse

Stéphane Ducasse

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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
62
Citations
15191
World Ranking
2901
National Ranking
45

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Stéphane Ducasse is affiliated with the University of Lille in France and has contributed extensively to the field of computer science, with a focus on software engineering and related domains. Their main field of study is Computer Science, with 102 publications spanning various subfields.

The subfields of study include:

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

Key topics of research associated with Stéphane Ducasse are:

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Advanced Software Engineering Methodologies
  • Logic, programming, and type systems
  • Advanced Malware Detection Techniques
  • Software Reliability and Analysis Research

Recent papers by Stéphane Ducasse cover a range of topics in software engineering and systems:

  • A user-oriented model for Oracles' Gas price prediction (2021), published in Future Generation Computer Systems
  • Analyzing Module Diversity (2020), published in HAL (Le Centre pour la Communication Scientifique Directe)
  • A new modular implementation for stateful traits (2020), published in Science of Computer Programming
  • From GWT to Angular: An Experiment Report on Migrating a Legacy Web Application (2021), published in IEEE Software
  • Object Miners: Acquire, Capture and Replay Objects to Track Elusive Bugs (2020), published in The Journal of Object Technology

Frequent co-authors collaborating with Stéphane Ducasse include:

  • Nicolas Anquetil
  • Anne Etien
  • Pablo Tesone
  • Guillermo Polito
  • Mustapha Derras

The scientist's publications appear frequently in these venues:

  • arXiv (Cornell University)
  • The Journal of Object Technology
  • The Art Science and Engineering of Programming
  • Journal of Computer Languages
  • Future Generation Computer Systems

Stéphane Ducasse has authored books published primarily by Centre National de la Recherche Scientifique, including titles such as Application Building with Spec 2.0, Building a minimal reflective kernel, and ApplicationBuildingwithSpec2.0, all from 2024. Additionally, a book titled Reuse in Emerging Software Engineering Practices was published by Springer Science+Business Media in 2020.

Best Publications

  • A language independent approach for detecting duplicated code

    S. Ducasse;M. Rieger;S. Demeyer

  • Semantic clustering: Identifying topics in source code

    Adrian Kuhn;Stéphane Ducasse;Tudor Gírba

  • Object-Oriented Metrics in Practice

    Michele Lanza;Radu Marinescu;Stéphane Ducasse

  • Polymetric views - a lightweight visual approach to reverse engineering

    M. Lanza;S. Ducasse

  • Traits: Composable Units of Behavior

    Nathanael Shärli;Stéphane Ducasse;Oscar Nierstrasz;Andrew Black

  • Software Architecture Reconstruction: A Process-Oriented Taxonomy

    S. Ducasse;D. Pollet

  • Finding refactorings via change metrics

    Serge Demeyer;Stéphane Ducasse;Oscar Nierstrasz

  • Challenges in software evolution

    T. Mens;M. Wermelinger;S. Ducasse;S. Demeyer

  • Traits: A mechanism for fine-grained reuse

    Stéphane Ducasse;Oscar Nierstrasz;Nathanael Schärli;Roel Wuyts

  • How developers drive software evolution

    T. Girba;A. Kuhn;M. Seeberger;S. Ducasse

  • The story of moose: an agile reengineering environment

    Oscar Nierstrasz;Stéphane Ducasse;Tudor Gǐrba

  • Recovering high-level views of object-oriented applications from static and dynamic information

    T. Richner;S. Ducasse

  • Pharo by Example

    Andrew P. Black;Stéphane Ducasse;Oscar Nierstrasz;Damien Pollet

  • Using history information to improve design flaws detection

    D. Rapu;S. Ducasse;T. Girba;R. Marinescu

  • Yesterday's Weather: guiding early reverse engineering efforts by summarizing the evolution of changes

    T. Girba;S. Ducasse;M. Lanza

  • Moose: an Extensible Language-Independent Environment for Reengineering Object-Oriented Systems

    Stéphane Ducasse;Michele Lanza;Sander Tichelaar

  • A hybrid reverse engineering approach combining metrics and program visualisation

    S. Demeyer;S. Ducasse;M. Lanza

  • A meta-model for language-independent refactoring

    S. Tichelaar;S. Ducasse;S. Demeyer;O. Nierstrasz

  • The class blueprint: visually supporting the understanding of glasses

    S. Ducasse;M. Lanza

  • Understanding software evolution using a combination of software visualization and software metrics

    Michelle Lanza;Stéphane Ducasse

  • Semantic Clustering: Identifying Topics in Source Code To appear in Journal on Information Systems and Technologies

    Adrian Kuhn;Stephane Ducasse;Tudor G

Frequent Co-Authors

Oscar Nierstrasz
Oscar Nierstrasz University of Bern
Serge Demeyer
Serge Demeyer University of Antwerp
Michele Lanza
Michele Lanza Universita della Svizzera Italiana
Marco Tulio Valente
Marco Tulio Valente Universidade Federal de Minas Gerais
Romain Robbes
Romain Robbes University of Bordeaux
Tom Mens
Tom Mens University of Mons
Yann-Gaël Guéhéneuc
Yann-Gaël Guéhéneuc Concordia University
Houari Sahraoui
Houari Sahraoui University of Montreal
Johan Montagnat
Johan Montagnat Centre national de la recherche scientifique, CNRS

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