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Giuliano Antoniol

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Bugs in Large Language Models Generated Code: An Empirical Study

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Mar 18, 2024
Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol

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GIST: Generated Inputs Sets Transferability in Deep Learning

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Nov 01, 2023
Florian Tambon, Foutse Khomh, Giuliano Antoniol

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Reinforcement learning informed evolutionary search for autonomous systems testing

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Aug 24, 2023
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

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AmbieGen: A Search-based Framework for Autonomous Systems Testing

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Jan 01, 2023
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

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A Probabilistic Framework for Mutation Testing in Deep Neural Networks

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Aug 11, 2022
Florian Tambon, Foutse Khomh, Giuliano Antoniol

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A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems

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Mar 23, 2022
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

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Machine Learning Application Development: Practitioners' Insights

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Dec 31, 2021
Md Saidur Rahman, Foutse Khomh, Alaleh Hamidi, Jinghui Cheng, Giuliano Antoniol, Hironori Washizaki

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Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow

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Dec 26, 2021
Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol

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Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases

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Jul 28, 2021
Ettore Merlo, Mira Marhaba, Foutse Khomh, Houssem Ben Braiek, Giuliano Antoniol

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Data Driven Testing of Cyber Physical Systems

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Feb 23, 2021
Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh

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