| 2026 | HCI | Measuring Pilot Vigilance Decline During a Monotonous Mission in a Flight Simulator. | Andra Mahu, Yann Batiste Pequignot, Alexandre Marois, Benoit Ouellette, Foutse Khomh, Philippe Doyon-Poulin |
| 2026 | ICST | XPJudge: Explanation-Aware Pairwise Judging for Cost-Effective Code LLM Selection. | Yasmine Ben Braiek, Houssem Ben Braiek, Foutse Khomh |
| 2026 | ICST | Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing. | Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek, Amel Bennaceur, Foutse Khomh |
| 2026 | MSR | Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models. | Gianmario Voria, Moses Openja, Foutse Khomh, Gemma Catolino, Fabio Palomba |
| 2025 | ANT | Automated UML Visualization of Software Ecosystems: Tracking Versions, Dependencies, and Security Updates. | Vanessa Kan, M. P. Lnu, Solomon Berhe, C. El Kari, M. Maynard, Foutse Khomh |
| 2025 | DBSEC | Diffusion-Based Adversarial Purification for Intrusion Detection. | Mohamed Amine Merzouk, Erwan Beurier, Reda Yaich, Nora Boulahia-Cuppens, Frdric Cuppens, Foutse Khomh |
| 2025 | EMNLP | MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation. | Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Aosong Feng, Dairui Liu, Yun Xing, Junjue Wang, Fan Gao, Jinghui Lu, Yuang Jiang, Huitao Li, Xin Li, Kunyu Yu, Ruihai Dong, Shangding Gu, Yuekang Li, Xiaofei Xie, Felix Juefei-Xu, Foutse Khomh, Osamu Yoshie, Qingyu Chen, Douglas Teodoro, Nan Liu, Randy Goebel, Lei Ma, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li |
| 2025 | ICSE | Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning. | Ruchira Manke, Mohammad Wardat, Foutse Khomh, Hridesh Rajan |
| 2025 | MSR | JPerfEvo: A Tool for Tracking Method-Level Performance Changes in Java Projects. | Kaveh Shahedi, Maxime Lamothe, Foutse Khomh, Heng Li |
| 2024 | AISTATS | Tackling the XAI Disagreement Problem with Regional Explanations. | Gabriel Laberge, Yann Batiste Pequignot, Mario Marchand, Foutse Khomh |
| 2024 | ANT | Triage Software Update Impact via Release Notes Classification. | Solomon Berhe, Vanessa Kan, Omhier Khan, Nathan Pader, Ali Zain Farooqui, Marc Maynard, Foutse Khomh |
| 2024 | ANT | Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning. | Saeid Jamshidi, Ashkan Amirnia, Amin Nikanjam, Foutse Khomh |
| 2023 | ANT | Maintenance Cost of Software Ecosystem Updates. | Solomon Berhe, Marc Maynard, Foutse Khomh |
| 2023 | APSEC | A Machine Learning Based Approach to Detect Machine Learning Design Patterns. | Weitao Pan, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa, Foutse Khomh, Yann-Gal Guhneuc |
| 2023 | ICLR | Fooling SHAP with Stealthily Biased Sampling. | Gabriel Laberge, Ulrich Avodji, Satoshi Hara, Mario Marchand, Foutse Khomh |
| 2023 | ICSE | RIGAA at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track. | Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol |
| 2023 | ICST | Mutation Testing of Deep Reinforcement Learning Based on Real Faults. | Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol |
| 2023 | MSR | On Codex Prompt Engineering for OCL Generation: An Empirical Study. | Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh |
| 2022 | CAIN | Identification of out-of-distribution cases of CNN using class-based surprise adequacy. | Mira Marhaba, Ettore Merlo, Foutse Khomh, Giuliano Antoniol |
| 2022 | EASE | Studying the Practices of Deploying Machine Learning Projects on Docker. | Moses Openja, Forough Majidi, Foutse Khomh, Bhagya Chembakottu, Heng Li |
| 2022 | SCAM | Revisiting the Impact of Anti-patterns on Fault-Proneness: A Differentiated Replication. | Aurel Ikama, Vincent Du, Philippe Belias, Biruk Asmare Muse, Foutse Khomh, Mohammad Hamdaqa |
| 2021 | EASE | Assessing Developer Expertise from the Statistical Distribution of Programming Syntax Patterns. | Arghavan Moradi Dakhel, Michel C. Desmarais, Foutse Khomh |
| 2021 | QRS | On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods. | Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins |
| 2021 | QRS | The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs. | Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam |
| 2021 | SCAM | Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack Overflow. | Alaleh Hamidi, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta, Mohammad Hamidi |
| 2020 | ANT | Software Release Patterns When is it a good time to update a software component? | Solomon Berhe, Marc Maynard, Foutse Khomh |
| 2020 | ENASE | Commit - Defect and Architectural Metrics - based Quality Assessment of C Language. | Devansh Tiwari, Hironori Washizaki, Yoshiaki Fukazawa, Tomoyuki Fukuoka, Junji Tamaki, Nobuhiro Hosotani, Munetaka Kohama, Yann-Gal Guhneuc, Foutse Khomh |
| 2020 | ESEM | On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow. | Ehsan Firouzi, Ashkan Sami, Foutse Khomh, Gias Uddin |
| 2020 | EuroPLop | Towards the Definition of Patterns and Code Smells for Multi-language Systems. | Mouna Abidi, Foutse Khomh |
| 2020 | ICSE | Double Cycle Hybrid Testing of Hybrid Distributed IoT System. | Cyrine Zid, Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol |
| 2020 | MSR | Multi-language Design Smells: A Backstage Perspective. | Mouna Abidi, Moses Openja, Foutse Khomh |
| 2020 | MSR | The Scent of Deep Learning Code: An Empirical Study. | Hadhemi Jebnoun, Houssem Ben Braiek, Mohammad Masudur Rahman, Foutse Khomh |
| 2020 | MSR | On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems. | Biruk Asmare Muse, Mohammad Masudur Rahman, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol |
| 2020 | MSR | Developer-Driven Code Smell Prioritization. | Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia |
| 2019 | EuroPLop | Code smells for multi-language systems. | Mouna Abidi, Manel Grichi, Foutse Khomh, Yann-Gal Guhneuc |
| 2019 | EuroPLop | Anti-patterns for multi-language systems. | Mouna Abidi, Foutse Khomh, Yann-Gal Guhneuc |
| 2019 | ICSE | Towards crowd-sourced API documentation. | Gias Uddin, Foutse Khomh, Chanchal K. Roy |
| 2019 | QRS | TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs. | Houssem Ben Braiek, Foutse Khomh |
| 2018 | APSEC | Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox. | Le An, Foutse Khomh, Shane McIntosh, Marco Castelluccio |
| 2018 | APSEC | Report of iMLSE-18: the 1 | Fuyuki Ishikawa, Foutse Khomh, Nobukazu Yoshioka, Giuliano Antoniol |
| 2018 | ICSE | EARMO: an energy-aware refactoring approach for mobile apps. | Rodrigo Morales, Rubn Saborido, Foutse Khomh, Francisco Chicano, Giuliano Antoniol |
| 2018 | MSR | The open-closed principle of modern machine learning frameworks. | Houssem Ben Braiek, Foutse Khomh, Bram Adams |
| 2018 | MSR | Developer interaction traces backed by IDE screen recordings from think aloud sessions. | Aiko Yamashita, Fbio Petrillo, Foutse Khomh, Yann-Gal Guhneuc |
| 2018 | QRS | The State of Practice on Virtual Reality (VR) Applications: An Exploratory Study on Github and Stack Overflow. | Naoures Ghrairi, Segla Kpodjedo, Amine Barrak, Fbio Petrillo, Foutse Khomh |
| 2017 | ICST | Broadcast vs. Unicast Review Technology: Does It Matter? | Foundjem Armstrong, Foutse Khomh, Bram Adams |
| 2017 | MSR | Software evolution and quality data from controlled, multiple, industrial case studies. | Aiko Yamashita, S. Amirhossein Abtahizadeh, Foutse Khomh, Yann-Gal Guhneuc |
| 2017 | QRS | How Do Developers Toggle Breakpoints? Observational Studies. | Fbio Petrillo, Hyan Mandian, Aiko Yamashita, Foutse Khomh, Yann-Gal Guhneuc |
| 2016 | ICSE | Software analytics: challenges and opportunities. | Latifa Guerrouj, Olga Baysal, David Lo, Foutse Khomh |
| 2016 | ICSOC | A Study of the Energy Consumption of Databases and Cloud Patterns. | Bchir Bani, Foutse Khomh, Yann-Gal Guhneuc |
| 2016 | ISSRE | Experience Report: An Empirical Study of API Failures in OpenStack Cloud Environments. | Pooya Musavi, Bram Adams, Foutse Khomh |
| 2016 | QRS | Towards Understanding Interactive Debugging. | Fbio Petrillo, Zphyrin Soh, Foutse Khomh, Marcelo Pimenta, Carla M. D. S. Freitas, Yann-Gal Guhneuc |
| 2015 | ESEM | Noises in Interaction Traces Data and Their Impact on Previous Research Studies. | Zphyrin Soh, Thomas Drioul, Pierre-Antoine Rappe, Foutse Khomh, Yann-Gal Guhneuc, Naji Habra |
| 2015 | HPCC | Predicting Scheduling Failures in the Cloud: A Case Study with Google Clusters and Hadoop on Amazon EMR. | Mbarka Soualhia, Foutse Khomh, Sofine Tahar |
| 2015 | IPCCC | How green are cloud patterns? | S. Amirhossein Abtahizadeh, Foutse Khomh, Yann-Gal Guhneuc |
| 2015 | IPCCC | ATLAS: An AdapTive faiLure-Aware Scheduler for Hadoop. | Mbarka Soualhia, Foutse Khomh, Sofine Tahar |
| 2015 | ICSE | 3rd International Workshop on Release Engineering (RELENG 2015). | Bram Adams, Stephany Bellomo, Christian Bird, Foutse Khomh, Kim Moir |
| 2015 | QRS | An Empirical Study of Highly Impactful Bugs in Mozilla Projects. | Le An, Foutse Khomh |
| 2014 | CloudCom | An Empirical Study of the Impact of Cloud Patterns on Quality of Service (QoS). | Geoffrey Hecht, Benjamin Jose-Scheidt, Clement De Figueiredo, Naouel Moha, Foutse Khomh |
| 2014 | ESEM | Tracing back the history of commits in low-tech reviewing environments: a case study of the Linux kernel. | Yujuan Jiang, Bram Adams, Foutse Khomh, Daniel M. Germn |
| 2014 | ESEM | Factors impacting rapid releases: an industrial case study. | Noureddine Kerzazi, Foutse Khomh |
| 2014 | ESEM | A qualitative analysis of software build system changes and build ownership styles. | Mini Shridhar, Bram Adams, Foutse Khomh |
| 2014 | SCAM | Supplementary Bug Fixes vs. Re-opened Bugs. | Le An, Foutse Khomh, Bram Adams |
| 2013 | ICSE | 1st international workshop on release engineering (RELENG 2013). | Bram Adams, Christian Bird, Foutse Khomh, Kim Moir |
| 2013 | MSR | Improving bug localization using correlations in crash reports. | Shaohua Wang, Foutse Khomh, Ying Zou |
| 2013 | MSR | An empirical study of the fault-proneness of clone mutation and clone migration. | Shuai Xie, Foutse Khomh, Ying Zou |
| 2012 | MSR | Do faster releases improve software quality? An empirical case study of Mozilla Firefox. | Foutse Khomh, Tejinder Dhaliwal, Ying Zou, Bram Adams |
| 2011 | ICWS | An Automatic Approach for Extracting Process Knowledge from the Web. | Hua Xiao, Bipin Upadhyaya, Foutse Khomh, Ying Zou, Joanna Ng, Alex Lau |
| 2010 | QUATIC | IDS: An Immune-Inspired Approach for the Detection of Software Design Smells. | Salima Hassaine, Foutse Khomh, Yann-Gal Guhneuc, Sylvie Hamel |