Lionel C. Briand

Registered user since Thu 9 Jul 2020

Name:Lionel C. Briand
Affiliation:University of Ottawa, Canada / University of Luxembourg, Luxembourg
Personal website:https://www.lbriand.info

Contributions

ESEC/FSE 2023 Program Co-Chair in Program Committee within the Ideas, Visions and Reflections-track
New Ideas and Visions Co-Chair in Organizing Committee
ICSE 2023 Author of ATM: Black-box Test Case Minimization based on Test Code Similarity and Evolutionary Search within the Technical Track-track
Author of Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts within the Journal-First Papers-track
Author of Flakify: A Black-Box, Language Model-based Predictor for Flaky Tests within the Journal-First Papers-track
CAIN 2023 PC Member in Program Committee
ASE 2022 Chair of IEEE Harlan D. Mills Award to Prof. Matthew Dwyer within the Plenary-track
Keynote Speaker of Autonomous Systems: How to address the Dilemma between Autonomy and Safety within the Keynotes-track
ICSE 2022 Author of On Systematically Building a CNL for Functional Requirements within the Journal-First Papers-track
Keynote Speaker of Mathematicians, Social Scientists, or Engineers? The Split Minds of Software Engineering Researchers within the Keynotes-track
Author of Reinforcement Learning for Test Case Prioritization within the Journal-First Papers-track
MODELS 2021 Panelist of Panel (H. Sahraoui, E. Syriani) within the Panel-track
ICSE 2021 Journal First Co-Chair in Program Committee within the Journal-First Papers-track
Author of Using Domain-specific Corpora for Improved Handling of Ambiguity in Requirements within the Technical Track-track
ESEC/FSE 2020 Author of Mining Assumptions for Software Components using Machine Learning within the Research Papers-track
Committee Member in Program Committee within the Visions and Reflections -track
Keynote Speaker of AI in Software Engineering: A 25-year Journey within the PROMISE 2020-track
MODELS 2020 Author of Leveraging Natural-language Requirements for Deriving Better Acceptance Criteria from Models within the Technical Track-track