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Yann-Gaël Guéhéneuc

Yann-Gaël Guéhéneuc

D-Index & Metrics

Computer Science

D-Index
62
Citations
13413
World Ranking
2946
National Ranking
110

Overview

Yann-Gaël Guéhéneuc is affiliated with Concordia University in Canada. Their research activity is primarily situated within the field of Computer Science, with a focus on subfields such as Information Systems, Computer Networks and Communications, Artificial Intelligence, Sociology and Political Science, and Software.

Their work covers several main topics, including:

  • Software Engineering Research
  • Software System Performance and Reliability
  • Digital Games and Media
  • Advanced Software Engineering Methodologies
  • Software Engineering Techniques and Practices
  • IoT and Edge/Fog Computing
  • Advanced Malware Detection Techniques

Yann-Gaël Guéhéneuc has contributed to numerous scientific papers. Some of their recent publications include:

  • "A practical guide on conducting eye tracking studies in software engineering," 2020, Empirical Software Engineering
  • "A Systematic Review of API Evolution Literature," 2021, ACM Computing Surveys
  • "A systematic literature review on automated log abstraction techniques," 2020, Information and Software Technology
  • "A taxonomy of service identification approaches for legacy software systems modernization," 2020, Journal of Systems and Software
  • "What skills do IT companies look for in new developers? A study with Stack Overflow jobs," 2020, Information and Software Technology

The frequent collaborators in their research include:

  • Fábio Petrillo
  • Cristiano Politowski
  • Naouel Moha
  • Gabriel C. Ullmann
  • Nicolas Anquetil

The main venues where Yann-Gaël Guéhéneuc has published work are:

  • arXiv (Cornell University)
  • Information and Software Technology
  • IEEE Transactions on Software Engineering
  • Zenodo (CERN European Organization for Nuclear Research)
  • Empirical Software Engineering

Best Publications

  • DECOR: A Method for the Specification and Detection of Code and Design Smells

    N. Moha;Y.-G. Gueheneuc;L. Duchien;A.-F. Le Meur

  • Feature Location Using Probabilistic Ranking of Methods Based on Execution Scenarios and Information Retrieval

    D. Poshyvanyk;Y.-G. Gueheneuc;A. Marcus;G. Antoniol

  • Is it a bug or an enhancement?: a text-based approach to classify change requests

    Giuliano Antoniol;Kamel Ayari;Massimiliano Di Penta;Foutse Khomh

  • An exploratory study of the impact of antipatterns on class change- and fault-proneness

    Foutse Khomh;Massimiliano Di Penta;Yann-Gaël Guéhéneuc;Giuliano Antoniol

  • An Exploratory Study of the Impact of Code Smells on Software Change-proneness

    Foutse Khomh;Massimiliano Di Penta;Yann-Gael Gueheneuc

  • An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension

    Marwen Abbes;Foutse Khomh;Yann-Gael Gueheneuc;Giuliano Antoniol

  • Code smells and refactoring: A tertiary systematic review of challenges and observations

    Guilherme Lacerda;Guilherme Lacerda;Fabio Petrillo;Marcelo Pimenta;Yann Gaël Guéhéneuc

  • A Bayesian Approach for the Detection of Code and Design Smells

    Foutse Khomh;Stéphane Vaucher;Yann-Gaël Guéhéneuc;Houari Sahraoui

  • DeMIMA: A Multilayered Approach for Design Pattern Identification

    Y.-G. Gueheneuc;G. Antoniol

  • A systematic literature review on the usage of eye-tracking in software engineering

    Zohreh Sharafi;Zéphyrin Soh;Yann-Gaël Guéhéneuc

  • Fingerprinting design patterns

    Gueheneuc Y-G;H. Sahraoui;F. Zaidi

  • BDTEX: A GQM-based Bayesian approach for the detection of antipatterns

    Foutse Khomh;Stephane Vaucher;Yann-Gaël Guéhéneuc;Houari Sahraoui

  • CERBERUS: Tracing Requirements to Source Code Using Information Retrieval, Dynamic Analysis, and Program Analysis

    M. Eaddy;A.V. Aho;G. Antoniol;Y.-G. Gueheneuc

  • AURA: a hybrid approach to identify framework evolution

    Wei Wu;Yann-Gaël Guéhéneuc;Giuliano Antoniol;Miryung Kim

  • Combining Probabilistic Ranking and Latent Semantic Indexing for Feature Identification

    D. Poshyvanyk;A. Marcus;V. Rajlich;Y.-G. Gueheneuc

  • Feature identification: a novel approach and a case study

    G. Antoniol;Y.-G. Gueheneuc

  • Instantiating and detecting design patterns: putting bits and pieces together

    H. Albin-Amiot;P. Cointe;Y.-G. Gueheneuc;N. Jussien

  • Do Design Patterns Impact Software Quality Positively

    F. Khomh;Y.-G. Gueheneuc

  • Recovering binary class relationships: putting icing on the UML cake

    Yann-Gaël Guéhéneuc;Hervé Albin-Amiot

  • SMURF: A SVM-based Incremental Anti-pattern Detection Approach

    Abdou Maiga;Nasir Ali;Neelesh Bhattacharya;Aminata Sabane

  • Online repository for tertiary systematic review about code smells and refactoring

    Guilherme Lacerda;Fabio Petrillo;Marcelo Pimenta;Yann Gaël Guéhéneuc

Frequent Co-Authors

Giuliano Antoniol
Giuliano Antoniol Polytechnique Montréal
Foutse Khomh
Foutse Khomh Polytechnique Montréal
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Bram Adams
Bram Adams Queen's University
Houari Sahraoui
Houari Sahraoui University of Montreal
Rocco Oliveto
Rocco Oliveto University of Molise
Jane Huffman Hayes
Jane Huffman Hayes University of Kentucky
Gaston Godin
Gaston Godin Université Laval
Tom Mens
Tom Mens University of Mons
Paolo Tonella
Paolo Tonella Universita della Svizzera Italiana

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