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Patrick Heymans

Patrick Heymans

D-Index & Metrics

Computer Science

D-Index
47
Citations
9110
World Ranking
6480
National Ranking
69

Overview

Patrick Heymans is affiliated with the University of Namur in Belgium and has conducted research primarily in the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Safety Research, Management of Technology and Innovation, Marketing, and Computer Networks and Communications.

The main topics of their research focus on Adversarial Robustness in Machine Learning, Ethics and Social Impacts of AI, Explainable Artificial Intelligence (XAI), Product Development and Customization, Quality Function Deployment in Product Design, Service and Product Innovation, and Software System Performance and Reliability.

Patrick Heymans has contributed to a number of recent academic publications, with notable papers including:

  • "Ethical Adversaries" (2021), published in ACM SIGKDD Explorations Newsletter
  • "Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning" (2020), published in arXiv (Cornell University)
  • "VaryMinions" (2022), published in Zenodo (CERN European Organization for Nuclear Research)
  • "VaryMinions" (2021), published in Zenodo (CERN European Organization for Nuclear Research)

Their frequent collaborators include Gilles Perrouin, Paul Temple, Sophie Fortz, Xavier Devroey, and Pieter Delobelle.

Patrick Heymans often publishes in venues such as Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), ACM SIGKDD Explorations Newsletter, Proceedings of the ACM on Human-Computer Interaction, and Empirical Software Engineering.

Best Publications

  • Feature Diagrams: A Survey and a Formal Semantics

    P.-Y. Schobbens;P. Heymans;J.-C. Trigaux

  • Generic semantics of feature diagrams

    Pierre-Yves Schobbens;Patrick Heymans;Jean-Christophe Trigaux;Yves Bontemps

  • Model checking lots of systems: efficient verification of temporal properties in software product lines

    Andreas Classen;Patrick Heymans;Pierre-Yves Schobbens;Axel Legay

  • A proposal for a scenario classification framework

    C. Rolland;C. Ben Achour;C. Cauvet;J. Ralyté

  • Disambiguating the Documentation of Variability in Software Product Lines: A Separation of Concerns, Formalization and Automated Analysis

    A. Metzger;P. Heymans;K. Pohl;P.-Y. Schobbens

  • Featured Transition Systems: Foundations for Verifying Variability-Intensive Systems and Their Application to LTL Model Checking

    A. Classen;M. Cordy;Pierre-Yves Schobbens;P. Heymans

  • Symbolic model checking of software product lines

    Andreas Classen;Patrick Heymans;Pierre-Yves Schobbens;Axel Legay

  • A text-based approach to feature modelling: Syntax and semantics of TVL

    Andreas Classen;Quentin Boucher;Patrick Heymans

  • Bypassing the Combinatorial Explosion: Using Similarity to Generate and Prioritize T-Wise Test Configurations for Software Product Lines

    Christopher Henard;Mike Papadakis;Gilles Perrouin;Jacques Klein

  • What's in a feature: a requirements engineering perspective

    Andreas Classen;Patrick Heymans;Pierre-Yves Schobbens

  • Analysing the cognitive effectiveness of the BPMN 2.0 visual notation

    Nicolas Genon;Patrick Heymans;Daniel Amyot

  • A Systematic Approach to Define the Domain of Information System Security Risk Management

    Éric Dubois;Patrick Heymans;Nicolas Mayer;Raimundas Matulevičius

  • On extracting feature models from product descriptions

    Mathieu Acher;Anthony Cleve;Gilles Perrouin;Patrick Heymans

  • Visual syntax does matter: improving the cognitive effectiveness of the i * visual notation

    Daniel L. Moody;Patrick Heymans;Raimundas Raimundas Matulevičius

  • Feature model extraction from large collections of informal product descriptions

    Jean-Marc Davril;Edouard Delfosse;Negar Hariri;Mathieu Acher

  • Model checking software product lines with SNIP

    Andreas Classen;Maxime Cordy;Patrick Heymans;Patrick Heymans;Axel Legay;Axel Legay

  • Improving the Effectiveness of Visual Representations in Requirements Engineering: An Evaluation of i* Visual Syntax

    Daniel Laurence Moody;Patrick Heymans;Raimundas Matulevicius

  • Beyond boolean product-line model checking: dealing with feature attributes and multi-features

    Maxime Cordy;Pierre-Yves Schobbens;Patrick Heymans;Axel Legay

  • Visual notation design 2.0: Towards user comprehensible requirements engineering notations

    Patrice Caire;Nicolas Genon;Patrick Heymans;Daniel L. Moody

  • Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering

    Elisabetta Di Nitto;Mark Harman;Patrick Heymans

  • Semantics of FODA Feature Diagrams

    J Bosch;T Mannisto;Yves Bontemps;Patrick Heymans

Frequent Co-Authors

Axel Legay
Axel Legay Université Catholique de Louvain
Krzysztof Czarnecki
Krzysztof Czarnecki University of Waterloo
Mike Papadakis
Mike Papadakis University of Luxembourg
Klaus Pohl
Klaus Pohl University of Duisburg-Essen
Daniel Amyot
Daniel Amyot University of Ottawa
Benoit Baudry
Benoit Baudry University of Montreal
Jean-François Raskin
Jean-François Raskin Université Libre de Bruxelles
Yves Le Traon
Yves Le Traon University of Luxembourg
Neil Maiden
Neil Maiden City, University of London
Hervé Panetto
Hervé Panetto University of Lorraine

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