Data cleaning and machine learning: a systematic literature review PO Côté, A Nikanjam, N Ahmed, D Humeniuk, F Khomh Automated Software Engineering 31 (2), 54, 2024 | 2 | 2024 |
Characterizing and classifying developer forum posts with their intentions X Wu, E Laufer, H Li, F Khomh, S Srinivasan, J Luo Empirical Software Engineering 29 (4), 84, 2024 | | 2024 |
Common challenges of deep reinforcement learning applications development: an empirical study MM Morovati, F Tambon, M Taraghi, A Nikanjam, F Khomh Empirical Software Engineering 29 (4), 95, 2024 | 1 | 2024 |
Effective test generation using pre-trained large language models and mutation testing AM Dakhel, A Nikanjam, V Majdinasab, F Khomh, MC Desmarais Information and Software Technology 171, 107468, 2024 | 18 | 2024 |
An Overview on Large Language Models AM Dakhel, A Nikanjam, F Khomh, MC Desmarais, H Washizaki Generative AI for Effective Software Development, 3-21, 2024 | | 2024 |
Generative AI for Software Development: A Family of Studies on Code Generation AM Dakhel, A Nikanjam, F Khomh, MC Desmarais, H Washizaki Generative AI for Effective Software Development, 151-172, 2024 | | 2024 |
Studying logging practice in machine learning-based applications PL Foalem, F Khomh, H Li Information and Software Technology 170, 107450, 2024 | 2 | 2024 |
Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs SK Ngassom, AM Dakhel, F Tambon, F Khomh arXiv preprint arXiv:2405.13932, 2024 | | 2024 |
Mining Action Rules for Defect Reduction Planning K Oueslati, G Laberge, M Lamothe, F Khomh arXiv preprint arXiv:2405.13740, 2024 | | 2024 |
Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs S Kouemo Ngassom, A Moradi Dakhel, F Tambon, F Khomh arXiv e-prints, arXiv: 2405.13932, 2024 | | 2024 |
Tackling the XAI Disagreement Problem with Regional Explanations G Laberge, YB Pequignot, M Marchand, F Khomh International Conference on Artificial Intelligence and Statistics, 2017-2025, 2024 | 1 | 2024 |
PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4 S Abukhalaf, M Hamdaqa, F Khomh Proceedings of the 2024 IEEE/ACM First International Conference on AI …, 2024 | | 2024 |
Understanding the Impact of IoT Security Patterns on CPU Usage and Energy Consumption on IoT Devices S Jamshidi, A Nikanjam, N Kawser, F Khomh, MA Hamdaqa Authorea Preprints, 2024 | | 2024 |
Machine Learning Robustness: A Primer HB Braiek, F Khomh arXiv preprint arXiv:2404.00897, 2024 | | 2024 |
Bugs in large language models generated code F Tambon, AM Dakhel, A Nikanjam, F Khomh, MC Desmarais, G Antoniol arXiv preprint arXiv:2403.08937, 2024 | 4 | 2024 |
Machine Learning Robustness: A Primer H Ben Braiek, F Khomh arXiv e-prints, arXiv: 2404.00897, 2024 | | 2024 |
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code V Majdinasab, A Nikanjam, F Khomh arXiv preprint arXiv:2402.09299, 2024 | 2 | 2024 |
ChatGPT vs LLaMA: Impact, Reliability, and Challenges in Stack Overflow Discussions L Da Silva, J Samhi, F Khomh arXiv preprint arXiv:2402.08801, 2024 | 1 | 2024 |
Deep learning model reuse in the huggingface community: Challenges, benefit and trends M Taraghi, G Dorcelus, A Foundjem, F Tambon, F Khomh arXiv preprint arXiv:2401.13177, 2024 | 4 | 2024 |
Towards enhancing the reproducibility of deep learning bugs: an empirical study MB Shah, MM Rahman, F Khomh arXiv preprint arXiv:2401.03069, 2024 | 1 | 2024 |