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D-Index & Metrics

Computer Science

D-Index
46
Citations
9063
World Ranking
6827
National Ranking
272

Overview

Foutse Khomh is affiliated with Polytechnique Montréal in Canada, specializing in computer science with a particular focus on software engineering and related subfields. Their research spans diverse areas including information systems, artificial intelligence, software, computer networks and communications, and signal processing.

Their contributions to the field are disseminated across a variety of academic venues where they have frequently published. Notable publication venues include:

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

Khomh's scholarly output focuses on topics related to software engineering research, software testing and debugging techniques, software system performance and reliability, adversarial robustness in machine learning, software reliability and analysis research, software engineering techniques and practices, and machine learning and data classification.

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Adversarial Robustness in Machine Learning
  • Software Reliability and Analysis Research
  • Software Engineering Techniques and Practices
  • Machine Learning and Data Classification

Among the recent papers authored or coauthored by Khomh are:

  • "GitHub Copilot AI pair programmer: Asset or Liability?", 2023, Journal of Systems and Software
  • "On testing machine learning programs", 2020, PolyPublie (École Polytechnique de Montréal)
  • "How to certify machine learning based safety-critical systems? A systematic literature review", 2022, Automated Software Engineering
  • "Software-Engineering Design Patterns for Machine Learning Applications", 2022, Computer
  • "Effective test generation using pre-trained Large Language Models and mutation testing", 2024, Information and Software Technology

Collaborative work forms an integral part of Khomh's research activities. Frequent coauthors contributing to their work include Amin Nikanjam, Giuliano Antoniol, Florian Tambon, Houssem Ben Braiek, and Mouna Abidi.

Best Publications

  • 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

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

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

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

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

  • On testing machine learning programs

    Houssem Ben Braiek;Foutse Khomh

  • Do faster releases improve software quality?: an empirical case study of Mozilla Firefox

    Foutse Khomh;Tejinder Dhaliwal;Ying Zou;Bram Adams

  • Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects

    Rodrigo Morales;Shane McIntosh;Foutse Khomh

  • Do Design Patterns Impact Software Quality Positively

    F. Khomh;Y.-G. Gueheneuc

  • On rapid releases and software testing: a case study and a semi-systematic literature review

    Mika V. Mäntylä;Bram Adams;Foutse Khomh;Emelie Engström

  • GitHub Copilot AI pair programmer: Asset or Liability?

    Unknown

  • Late propagation in software clones

    Liliane Barbour;Foutse Khomh;Ying Zou

  • An Empirical Study on Factors Impacting Bug Fixing Time

    Feng Zhang;Foutse Khomh;Ying Zou;Ahmed E. Hassan

  • Predicting Bugs Using Antipatterns

    Seyyed Ehsan Salamati Taba;Foutse Khomh;Ying Zou;Ahmed E. Hassan

  • Tracking Design Smells: Lessons from a Study of God Classes

    Stephane Vaucher;Foutse Khomh;Naouel Moha;Yann-Gael Gueheneuc

  • Enforcing security in Internet of Things frameworks: A Systematic Literature Review

    Mohab Aly;Foutse Khomh;Mohammed Haoues;Alejandro Quintero

  • Software Engineering for Machine-Learning Applications: The Road Ahead

    Foutse Khomh;Bram Adams;Jinghui Cheng;Marios Fokaefs

  • Why Do Automated Builds Break? An Empirical Study

    Noureddine Kerzazi;Foutse Khomh;Bram Adams

  • Analyzing the Impact of Antipatterns on Change-Proneness Using Fine-Grained Source Code Changes

    Daniele Romano;Paulius Raila;Martin Pinzger;Foutse Khomh

  • Numerical Signatures of Antipatterns: An Approach Based on B-Splines

    Rocco Oliveto;Foutse Khomh;Giuliano Antoniol;Yann-Gael Gueheneuc

  • Empirical Software Engineering

    Yann-Gaël Guéhéneuc;Foutse Khomh

Frequent Co-Authors

Yann-Gaël Guéhéneuc
Yann-Gaël Guéhéneuc Concordia University
Giuliano Antoniol
Giuliano Antoniol Polytechnique Montréal
Ying Zou
Ying Zou Queen's University
Bram Adams
Bram Adams Queen's University
Chanchal K. Roy
Chanchal K. Roy University of Saskatchewan
Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Christian Bird
Christian Bird Microsoft (United States)
David Lo
David Lo Singapore Management University
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Ettore Merlo
Ettore Merlo Polytechnique Montréal

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