Foutse Khomh

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 299

Top Venues

Publications

Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
Mining Action Rules for Defect Reduction Planning. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Leuson Da Silva, Jordan Samhi, Foutse Khomh
ChatGPT vs LLaMA: Impact, Reliability, and Challenges in Stack Overflow Discussions. CoRR (2024)
Moses Openja, Gabriel Laberge, Foutse Khomh
Detection and evaluation of bias-inducing features in machine learning. Empir. Softw. Eng. 29 (1) (2024)
Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh
PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4. CoRR (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. AIware (2024)
Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
Mining Action Rules for Defect Reduction Planning. CoRR (2024)
Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse Khomh
Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection. SANER (2024)
Daniel Russo, Sebastian Baltes, Niels van Berkel, Paris Avgeriou, Fabio Calefato, Beatriz Cabrero-Daniel, Gemma Catolino, Jürgen Cito, Neil A. Ernst, Thomas Fritz, Hideaki Hata, Reid Holmes, Maliheh Izadi, Foutse Khomh, Mikkel Baun Kjærgaard, Grischa Liebel, Alberto Lluch-Lafuente, Stefano Lambiase, Walid Maalej, Gail C. Murphy, Nils Brede Moe, Gabrielle O'Brien, Elda Paja, Mauro Pezzè, John Stouby Persson, Rafael Prikladnicki, Paul Ralph, Martin P. Robillard, Thiago Rocha Silva, Klaas-Jan Stol, Margaret-Anne D. Storey, Viktoria Stray, Paolo Tell, Christoph Treude, Bogdan Vasilescu
Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto. J. Syst. Softw. 216 (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)
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code. CoRR (2024)
Gabriel Laberge, Yann Batiste Pequignot, Mario Marchand, Foutse Khomh
Tackling the XAI Disagreement Problem with Regional Explanations. AISTATS (2024)
Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais
Effective test generation using pre-trained Large Language Models and mutation testing. Inf. Softw. Technol. 171 (2024)
Houssem Ben Braiek, Foutse Khomh
Machine Learning Robustness: A Primer. 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)
Xingfang Wu, Eric Laufer, Heng Li, Foutse Khomh, Santhosh Srinivasan, Jayden Luo
Characterizing and classifying developer forum posts with their intentions. Empir. Softw. Eng. 29 (4) (2024)
Patrick Loic Foalem, Foutse Khomh, Heng Li
Studying logging practice in machine learning-based applications. Inf. Softw. Technol. 170 (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)
Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh
Data cleaning and machine learning: a systematic literature review. Autom. Softw. Eng. 31 (2) (2024)
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR (2024)
Cyrine Zid, François Belias, Massimiliano Di Penta, Foutse Khomh, Giuliano Antoniol
List Comprehension Versus for Loops Performance in Real Python Projects: Should we Care? SANER (2024)
Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh
Design smells in multi-language systems and bug-proneness: a survival analysis. Empir. Softw. Eng. 29 (5) (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)
Biruk Asmare Muse, Kawser Wazed Nafi, Foutse Khomh, Giuliano Antoniol
Data-access performance anti-patterns in data-intensive systems. Empir. Softw. Eng. 29 (6) (2024)
Mohamed Salah Bouafif, Chen Zheng, Ilham Ahmed Qasse, Ed Zulkoski, Mohammad Hamdaqa, Foutse Khomh
A Context-Driven Approach for Co-Auditing Smart Contracts with The Support of GPT-4 code interpreter. CoRR (2024)
Jihene Rezgui, Félix Jobin, Younes Kechout, Chritine Turgeon, Foutse Khomh
Towards a Reliable French Speech Recognition Tool for an Automated Diagnosis of Learning Disabilities. SmartNets (2024)
Bertrand Braunschweig, Stefan Buijsman, Faïcel Chamroukhi, Fredrik Heintz, Foutse Khomh, Juliette Mattioli, Maximilian Poretschkin
AITA: AI trustworthiness assessment. AI Ethics 4 (1) (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)
Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradi Dakhel, Amjed Tahir, Foutse Khomh
Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study. SANER (2024)
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn. CoRR (2024)
Mehil B. Shah, Mohammad Masudur Rahman, Foutse Khomh
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study. CoRR (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)
Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh
PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4. FORGE (2024)
Houssem Ben Braiek, Foutse Khomh
Testing Feedforward Neural Networks Training Programs. ACM Trans. Softw. Eng. Methodol. 32 (4) (2023)
Saud Hakem Al Harbi, Lionel Nganyewou Tidjon, Foutse Khomh
Responsible Design Patterns for Machine Learning Pipelines. CoRR (2023)
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
RIGAA at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track. SBFT (2023)
Weitao Pan, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa, Foutse Khomh, Yann-Gaël Guéhéneuc
A Machine Learning Based Approach to Detect Machine Learning Design Patterns. APSEC (2023)
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming (Jack) Jiang
GitHub Copilot AI pair programmer: Asset or Liability? J. Syst. Softw. 203 (2023)
Bhagya Chembakottu, Heng Li, Foutse Khomh
A Large-Scale Exploratory Study of Android Sports Apps in the Google Play Store. CoRR (2023)
Hosna Hooshyar, Eduardo M. Guerra, Jorge Melegati, Dron Khanna, Abdullah Aldaeej, Gerardo Matturro, Luciana A. M. Zaina, Des Greer, Usman Rafiq, Rafael Chanin, Xiaofeng Wang, Juan Garbajosa, Pekka Abrahamsson, Foutse Khomh, Anh Nguyen-Duc
Impact in Software Engineering Activities After One Year of COVID-19 Restrictions for Startups and Established Companies. IEEE Access 11 (2023)
Solomon Berhe, Marc Maynard, Foutse Khomh
Maintenance Cost of Software Ecosystem Updates. ANT/EDI40 (2023)
Florian Tambon, Foutse Khomh, Giuliano Antoniol
GIST: Generated Inputs Sets Transferability in Deep Learning. CoRR (2023)
AmirHossein Naghshzan, Saeed Khalilazar, Pierre Poilane, Olga Baysal, Latifa Guerrouj, Foutse Khomh
Leveraging Data Mining Algorithms to Recommend Source Code Changes. CoRR (2023)
Vahid Majdinasab, Sharon Chee Yin Ho, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, Muhammad Raza
An Empirical Study on Bugs Inside PyTorch: A Replication Study. CoRR (2023)
Houssem Ben Braiek, Thomas Reid, Foutse Khomh
Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation. IEEE Trans. Reliab. 72 (3) (2023)
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
AmbieGen: A search-based framework for autonomous systems testing. Sci. Comput. Program. 230 (2023)
Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh
On Codex Prompt Engineering for OCL Generation: An Empirical Study. MSR (2023)
Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. ICSME (2023)
Matteo Bosco, Pasquale Cavoto, Augusto Ungolo, Biruk Asmare Muse, Foutse Khomh, Vittoria Nardone, Massimiliano Di Penta
UnityLint: A Bad Smell Detector for Unity. ICPC (2023)
Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais
Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing. CoRR (2023)
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
AmbieGen: A Search-based Framework for Autonomous Systems Testing. CoRR (2023)
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing. CoRR (2023)
Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming Jiang, Mouna Abidi, Ahmed E. Hassan
Studying the Practices of Testing Machine Learning Software in the Wild. CoRR (2023)
Florian Tambon, Foutse Khomh, Giuliano Antoniol
A probabilistic framework for mutation testing in deep neural networks. Inf. Softw. Technol. 155 (2023)
Fatemeh Yousefifeshki, Heng Li, Foutse Khomh
Studying the challenges of developing hardware description language programs. Inf. Softw. Technol. 159 (2023)
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
A comparison of reinforcement learning frameworks for software testing tasks. Empir. Softw. Eng. 28 (5) (2023)
Foutse Khomh
Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development (Invited Talk). PROMISE (2023)
Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. CoRR (2023)
Osama Ehsan, Foutse Khomh, Ying Zou, Dong Qiu
Ranking code clones to support maintenance activities. Empir. Softw. Eng. 28 (3) (2023)
Bhagya Chembakottu, Heng Li, Foutse Khomh
A large-scale exploratory study of android sports apps in the google play store. Inf. Softw. Technol. 164 (2023)
Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
Mutation Testing of Deep Reinforcement Learning Based on Real Faults. ICST (2023)
Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta
Video Game Bad Smells: What They Are and How Developers Perceive Them. ACM Trans. Softw. Eng. Methodol. 32 (4) (2023)
Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol
Refactoring practices in the context of data-intensive systems. Empir. Softw. Eng. 28 (2) (2023)
Arghavan Moradi Dakhel, Michel C. Desmarais, Foutse Khomh
Dev2vec: Representing domain expertise of developers in an embedding space. Inf. Softw. Technol. 159 (2023)
Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh
Data Cleaning and Machine Learning: A Systematic Literature Review. CoRR (2023)
Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradi Dakhel, Amjed Tahir, Foutse Khomh
Assessing the Security of GitHub Copilot Generated Code - A Targeted Replication Study. CoRR (2023)
Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh
Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness? Computer 56 (4) (2023)
Sharon Chee Yin Ho, Vahid Majdinasab, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, Muhammad Raza
An Empirical Study on Bugs Inside PyTorch: A Replication Study. ICSME (2023)
Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
Mutation Testing of Deep Reinforcement Learning Based on Real Faults. CoRR (2023)
Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh
On Codex Prompt Engineering for OCL Generation: An Empirical Study. CoRR (2023)
Lionel Nganyewou Tidjon, Foutse Khomh
The Different Faces of AI Ethics Across the World: A Principle-to-Practice Gap Analysis. IEEE Trans. Artif. Intell. 4 (4) (2023)
Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse Khomh
Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection. CoRR (2023)
Xingfang Wu, Heng Li, Foutse Khomh
On the Effectiveness of Log Representation for Log-based Anomaly Detection. CoRR (2023)
Roozbeh Aghili, Heng Li, Foutse Khomh
Studying the characteristics of AIOps projects on GitHub. Empir. Softw. Eng. 28 (6) (2023)
Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh
An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems. CoRR (2023)
Patrick Loic Foalem, Foutse Khomh, Heng Li
Studying Logging Practice in Machine Learning-based Applications. CoRR (2023)
Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh
Quality Issues in Machine Learning Software Systems. CoRR (2023)
Aaditya Bhatia, Foutse Khomh, Bram Adams, Ahmed E. Hassan
An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software. CoRR (2023)
Md. Saidur Rahman, Foutse Khomh, Alaleh Hamidi, Jinghui Cheng, Giuliano Antoniol, Hironori Washizaki
Machine learning application development: practitioners' insights. Softw. Qual. J. 31 (4) (2023)
Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
Fooling SHAP with Stealthily Biased Sampling. ICLR (2023)
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
Harnessing Pre-trained Generalist Agents for Software Engineering Tasks. CoRR (2023)
Moses Openja, Gabriel Laberge, Foutse Khomh
Detection and Evaluation of bias-inducing Features in Machine learning. CoRR (2023)
Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
Robustness assessment of hyperspectral image CNNs using metamorphic testing. Inf. Softw. Technol. 162 (2023)
Xingfang Wu, Eric Laufer, Heng Li, Foutse Khomh, Santhosh Srinivasan, Jayden Luo
Characterizing and Classifying Developer Forum Posts with their Intentions. CoRR (2023)
Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh
An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems. ASE (2023)
Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming Jiang
Bug Characterization in Machine Learning-based Systems. CoRR (2023)
Alexandre Verdet, Mohammad Hamdaqa, Leuson Da Silva, Foutse Khomh
Exploring Security Practices in Infrastructure as Code: An Empirical Study. CoRR (2023)
Matteo Biagiola, Nicolás Cardozo, Donghwan Shin, Foutse Khomh, Andrea Stocco, Vincenzo Riccio
Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023). ACM SIGSOFT Softw. Eng. Notes 48 (4) (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)
Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming (Jack) Jiang
Bugs in machine learning-based systems: a faultload benchmark. Empir. Softw. Eng. 28 (3) (2023)
Xingfang Wu, Heng Li, Foutse Khomh
On the effectiveness of log representation for log-based anomaly detection. Empir. Softw. Eng. 28 (6) (2023)
Ilham A. Qasse, Shailesh Mishra, Björn Þór Jónsson, Foutse Khomh, Mohammad Hamdaqa
Chat2Code: A Chatbot for Model Specification and Code Generation, The Case of Smart Contracts. SSE (2023)
Ahmed Haj Yahmed, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment. CoRR (2022)
Hironori Washizaki, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Takeuchi, Naotake Natori, Takuo Doi, Satoshi Okuda
Software-Engineering Design Patterns for Machine Learning Applications. Computer 55 (3) (2022)
Forough Majidi, Moses Openja, Foutse Khomh, Heng Li
An Empirical Study on the Usage of Automated Machine Learning Tools. CoRR (2022)
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
A search-based framework for automatic generation of testing environments for cyber-physical systems. Inf. Softw. Technol. 149 (2022)
Md. Saidur Rahman, Foutse Khomh, Emilio Rivera, Yann-Gaël Guéhéneuc, Bernd Lehnert
Challenges in machine learning application development: an industrial experience report. SE4RAI@ICSE (2022)
Moses Openja, Forough Majidi, Foutse Khomh, Bhagya Chembakottu, Heng Li
Studying the Practices of Deploying Machine Learning Projects on Docker. EASE (2022)
Biruk Asmare Muse, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol
FIXME: synchronize with database! An empirical study of data access self-admitted technical debt. Empir. Softw. Eng. 27 (6) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Foutse Khomh