Florian Tambon

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Mutation Testing

Top Venues

Empir. Softw. Eng.

Publications

Sylvain Kouemo Ngassom, Arghavan Moradi Dakhel, Florian Tambon, Foutse Khomh
Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs. AIware (2024)
Sylvain Kouemo Ngassom, Arghavan Moradi Dakhel, Florian Tambon, Foutse Khomh
Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs. CoRR (2024)
Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh
Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends. SANER (2024)
Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol
Bugs in Large Language Models Generated Code: An Empirical Study. CoRR (2024)
Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming (Jack) Jiang
Bug characterization in machine learning-based systems. Empir. Softw. Eng. 29 (1) (2024)
Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh
Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends. CoRR (2024)
Florian Tambon, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models. CoRR (2024)
Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol
Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. Empir. Softw. Eng. 29 (1) (2024)
Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh
Common challenges of deep reinforcement learning applications development: an empirical study. Empir. Softw. Eng. 29 (4) (2024)
Florian Tambon, Foutse Khomh, Giuliano Antoniol
GIST: Generated Inputs Sets Transferability in Deep Learning. CoRR (2023)
Florian Tambon, Foutse Khomh, Giuliano Antoniol
A probabilistic framework for mutation testing in deep neural networks. Inf. Softw. Technol. 155 (2023)
Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
Mutation Testing of Deep Reinforcement Learning Based on Real Faults. ICST (2023)
Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
Mutation Testing of Deep Reinforcement Learning Based on Real Faults. CoRR (2023)
Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming Jiang
Bug Characterization in Machine Learning-based Systems. CoRR (2023)
Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh
Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study. CoRR (2023)
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
How to certify machine learning based safety-critical systems? A systematic literature review. Autom. Softw. Eng. 29 (2) (2022)
Florian Tambon, Foutse Khomh, Giuliano Antoniol
A Probabilistic Framework for Mutation Testing in Deep Neural Networks. CoRR (2022)
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review. CoRR (2021)
Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol
Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow. CoRR (2021)
Florian Tambon, Giulio Antoniol, Foutse Khomh
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks. CoRR (2021)