Foutse Khomh

According to our database, Foutse Khomh authored at least 309 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Towards enhancing the reproducibility of deep learning bugs: an empirical study.

Mehil B. Shah, Mohammad Masudur Rahman, Foutse Khomh

Empir. Softw. Eng., February, 2025

2024

Data-access performance anti-patterns in data-intensive systems.

Biruk Asmare Muse, Kawser Wazed Nafi, Foutse Khomh, Giuliano Antoniol

Empir. Softw. Eng., November, 2024

Quality issues in machine learning software systems.

Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh

Empir. Softw. Eng., November, 2024

Data cleaning and machine learning: a systematic literature review.

Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh

Autom. Softw. Eng., November, 2024

Design smells in multi-language systems and bug-proneness: a survival analysis.

Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh

Empir. Softw. Eng., September, 2024

Characterizing and classifying developer forum posts with their intentions.

Xingfang Wu, Eric Laufer, Heng Li, Foutse Khomh, Santhosh Srinivasan, Jayden Luo

Empir. Softw. Eng., July, 2024

Common challenges of deep reinforcement learning applications development: an empirical study.

Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh

Empir. Softw. Eng., July, 2024

Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow.

Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol

Empir. Softw. Eng., February, 2024

Detection and evaluation of bias-inducing features in machine learning.

Moses Openja, Gabriel Laberge, Foutse Khomh

Empir. Softw. Eng., February, 2024

Bug characterization in machine learning-based systems.

Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming (Jack) Jiang

Empir. Softw. Eng., February, 2024

AITA: AI trustworthiness assessment.

Bertrand Braunschweig, Stefan Buijsman, Faïcel Chamroukhi, Fredrik Heintz, Foutse Khomh, Juliette Mattioli, Maximilian Poretschkin

AI Ethics, February, 2024

Mining Action Rules for Defect Reduction Planning.

Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh

Proc. ACM Softw. Eng., 2024

Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto.

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

J. Syst. Softw., 2024

Studying logging practice in machine learning-based applications.

Patrick Loic Foalem, Foutse Khomh, Heng Li

Inf. Softw. Technol., 2024

Effective test generation using pre-trained Large Language Models and mutation testing.

Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais

Inf. Softw. Technol., 2024

In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators.

Dmytro Humeniuk, Houssem Ben Braiek, Thomas Reid, Foutse Khomh

CoRR, 2024

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer.

Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh

CoRR, 2024

What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach.

Xingfang Wu, Heng Li, Foutse Khomh

CoRR, 2024

Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization.

Roozbeh Aghili, Qiaolin Qin, Heng Li, Foutse Khomh

CoRR, 2024

An Empirical Study of Sensitive Information in Logs.

Roozbeh Aghili, Heng Li, Foutse Khomh

CoRR, 2024

Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems.

Altaf Allah Abbassi, Houssem Ben Braiek, Foutse Khomh, Thomas Reid

CoRR, 2024

Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models.

Florian Tambon, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol

CoRR, 2024

DeepCodeProbe: Towards Understanding What Models Trained on Code Learn.

Vahid Majdinasab, Amin Nikanjam, Foutse Khomh

CoRR, 2024

A Context-Driven Approach for Co-Auditing Smart Contracts with The Support of GPT-4 code interpreter.

Mohamed Salah Bouafif, Chen Zheng, Ilham Ahmed Qasse, Ed Zulkoski, Mohammad Hamdaqa, Foutse Khomh

CoRR, 2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

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

CoRR, 2024

Machine Learning Robustness: A Primer.

Houssem Ben Braiek, Foutse Khomh

CoRR, 2024

Bugs in Large Language Models Generated Code: An Empirical Study.

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

CoRR, 2024

Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code.

Vahid Majdinasab, Amin Nikanjam, Foutse Khomh

CoRR, 2024

ChatGPT vs LLaMA: Impact, Reliability, and Challenges in Stack Overflow Discussions.

Léuson M. P. da Silva, Jordan Samhi, Foutse Khomh

CoRR, 2024

List Comprehension Versus for Loops Performance in Real Python Projects: Should we Care?

Cyrine Zid, François Belias, Massimiliano Di Penta, Foutse Khomh, Giuliano Antoniol

Proceedings of the IEEE International Conference on Software Analysis, 2024

Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection.

Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse Khomh

Proceedings of the IEEE International Conference on Software Analysis, 2024

Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends.

Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh

Proceedings of the IEEE International Conference on Software Analysis, 2024

Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study.

Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradi Dakhel, Amjed Tahir, Foutse Khomh

Proceedings of the IEEE International Conference on Software Analysis, 2024

Towards a Reliable French Speech Recognition Tool for an Automated Diagnosis of Learning Disabilities.

Jihene Rezgui, Félix Jobin, Younes Kechout, Chritine Turgeon, Foutse Khomh

Proceedings of the International Conference on Smart Applications, 2024

AmbieGen at the SBFT 2024 Tool Competition - CPS-UAV Track.

Dmytro Humeniuk, Foutse Khomh

Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, 2024

AmbieGenVAE at the SBFT 2024 Tool Competition - Cyber-Physical Systems Track.

Dmytro Humeniuk, Foutse Khomh

Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, 2024

PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4.

Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh

Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs.

Sylvain Kouemo Ngassom, Arghavan Moradi Dakhel, Florian Tambon, Foutse Khomh

Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

Tackling the XAI Disagreement Problem with Regional Explanations.

Gabriel Laberge, Yann Batiste Pequignot, Mario Marchand, Foutse Khomh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Machine learning application development: practitioners' insights.

Md. Saidur Rahman, Foutse Khomh, Alaleh Hamidi, Jinghui Cheng, Giuliano Antoniol, Hironori Washizaki

Softw. Qual. J., December, 2023

A large-scale exploratory study of android sports apps in the google play store.

Bhagya Chembakottu, Heng Li, Foutse Khomh

Inf. Softw. Technol., December, 2023

On the effectiveness of log representation for log-based anomaly detection.

Xingfang Wu, Heng Li, Foutse Khomh

Empir. Softw. Eng., November, 2023

Studying the characteristics of AIOps projects on GitHub.

Roozbeh Aghili, Heng Li, Foutse Khomh

Empir. Softw. Eng., November, 2023

Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023).

Matteo Biagiola, Nicolás Cardozo, Donghwan Shin, Foutse Khomh, Andrea Stocco, Vincenzo Riccio

ACM SIGSOFT Softw. Eng. Notes, October, 2023

A comparison of reinforcement learning frameworks for software testing tasks.

Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh

Empir. Softw. Eng., October, 2023

Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation.

Houssem Ben Braiek, Thomas Reid, Foutse Khomh

IEEE Trans. Reliab., September, 2023

GitHub Copilot AI pair programmer: Asset or Liability?

Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming (Jack) Jiang

J. Syst. Softw., September, 2023

AmbieGen: A search-based framework for autonomous systems testing.

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

Sci. Comput. Program., August, 2023

Video Game Bad Smells: What They Are and How Developers Perceive Them.

Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta

ACM Trans. Softw. Eng. Methodol., July, 2023

Testing Feedforward Neural Networks Training Programs.

Houssem Ben Braiek, Foutse Khomh

ACM Trans. Softw. Eng. Methodol., July, 2023

Studying the challenges of developing hardware description language programs.

Fatemeh Yousefifeshki, Heng Li, Foutse Khomh

Inf. Softw. Technol., July, 2023

Dev2vec: Representing domain expertise of developers in an embedding space.

Arghavan Moradi Dakhel, Michel C. Desmarais, Foutse Khomh

Inf. Softw. Technol., July, 2023

Bugs in machine learning-based systems: a faultload benchmark.

Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming (Jack) Jiang

Empir. Softw. Eng., June, 2023

Ranking code clones to support maintenance activities.

Osama Ehsan, Foutse Khomh, Ying Zou, Dong Qiu

Empir. Softw. Eng., June, 2023

Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness?

Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh

Computer, April, 2023

Refactoring practices in the context of data-intensive systems.

Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol

Empir. Softw. Eng., March, 2023

Intelligent Software Maintenance.

Foutse Khomh, Mohammad Masudur Rahman, Antoine Barbez

Proceedings of the Optimising the Software Development Process with Artificial Intelligence, 2023

The Different Faces of AI Ethics Across the World: A Principle-to-Practice Gap Analysis.

Lionel Nganyewou Tidjon, Foutse Khomh

IEEE Trans. Artif. Intell., 2023

Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set.

Gabriel Laberge, Yann Pequignot, Alexandre Mathieu, Foutse Khomh, Mario Marchand

J. Mach. Learn. Res., 2023

A probabilistic framework for mutation testing in deep neural networks.

Florian Tambon, Foutse Khomh, Giuliano Antoniol

Inf. Softw. Technol., 2023

Robustness assessment of hyperspectral image CNNs using metamorphic testing.

Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour

Inf. Softw. Technol., 2023

Harnessing Pre-trained Generalist Agents for Software Engineering Tasks.

Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh

CoRR, 2023

Studying the Practices of Testing Machine Learning Software in the Wild.

Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming Jiang, Mouna Abidi, Ahmed E. Hassan

CoRR, 2023

An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software.

Aaditya Bhatia, Foutse Khomh, Bram Adams, Ahmed E. Hassan

CoRR, 2023

Assessing the Security of GitHub Copilot Generated Code - A Targeted Replication Study.

Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradi Dakhel, Amjed Tahir, Foutse Khomh

CoRR, 2023

GIST: Generated Inputs Sets Transferability in Deep Learning.

Florian Tambon, Foutse Khomh, Giuliano Antoniol

CoRR, 2023

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing.

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

CoRR, 2023

Exploring Security Practices in Infrastructure as Code: An Empirical Study.

Alexandre Verdet, Mohammad Hamdaqa, Léuson M. P. da Silva, Foutse Khomh

CoRR, 2023

Responsible Design Patterns for Machine Learning Pipelines.

Saud Hakem Al Harbi, Lionel Nganyewou Tidjon, Foutse Khomh

CoRR, 2023

Leveraging Data Mining Algorithms to Recommend Source Code Changes.

AmirHossein Naghshzan, Saeed Khalilazar, Pierre Poilane, Olga Baysal, Latifa Guerrouj, Foutse Khomh

CoRR, 2023

Impact in Software Engineering Activities After One Year of COVID-19 Restrictions for Startups and Established Companies.

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

IEEE Access, 2023

Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development (Invited Talk).

Foutse Khomh

Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, 2023

On Codex Prompt Engineering for OCL Generation: An Empirical Study.

Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems.

Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

UnityLint: A Bad Smell Detector for Unity.

Matteo Bosco, Pasquale Cavoto, Augusto Ungolo, Biruk Asmare Muse, Foutse Khomh, Vittoria Nardone, Massimiliano Di Penta

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Mutation Testing of Deep Reinforcement Learning Based on Real Faults.

Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges.

Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

An Empirical Study on Bugs Inside PyTorch: A Replication Study.

Sharon Chee Yin Ho, Vahid Majdinasab, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, Muhammad Raza

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

RIGAA at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track.

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

Proceedings of the IEEE/ACM International Workshop on Search-Based and Fuzz Testing, 2023

Fooling SHAP with Stealthily Biased Sampling.

Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Machine Learning Based Approach to Detect Machine Learning Design Patterns.

Weitao Pan, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

Maintenance Cost of Software Ecosystem Updates.

Solomon Berhe, Marc Maynard, Foutse Khomh

Proceedings of the 14th International Conference on Ambient Systems, 2023

Chat2Code: A Chatbot for Model Specification and Code Generation, The Case of Smart Contracts.

Ilham A. Qasse, Shailesh Mishra, Björn Þór Jónsson, Foutse Khomh, Mohammad Hamdaqa

Proceedings of the IEEE International Conference on Software Services Engineering, 2023

2022

Complementary material for the book "Optimising the Software Development Process with Artificial Intelligence".

José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano, Liyan Song, Leandro L. Minku, Fitsum Meshesha Kifetew, Anna Perini, Angelo Susi, Antonio Garmendia, Dominik Bork, Martin Eisenberg, Thiago do Nascimento Ferreira, Marouane Kessentini, Manuel Wimmer, Tien N. Nguyen, José Antonio Parejo, Ana Belén Sánchez, Afonso Fontes, Gregory Gay, Francisco Gomes de Oliveira Neto, Robert Feldt, Michael Felderer, Eduard Paul Enoiu, Sahar Tahvili, Foutse Khomh, Mohammad Masudur Rahman, Antoine Barbez, Javier Ferrer, Pedro Delgado-Pérez, Aurora Ramírez, Breno Miranda

Dataset, August, 2022

Video Game Bad Smells: What they are and how Developers Perceive Them - Online dataset.

Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta

Dataset, March, 2022

Video Games Bad Smells: What they are and how Developers Perceive Them - Online dataset.

Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta

Dataset, March, 2022

Video Games Bad Smells: What they are and how Developers Perceive Them - Online dataset.

Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta

Dataset, March, 2022

Video Games Bad Smells: What they are and how Developers Perceive Them - Online dataset.

Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta

Dataset, March, 2022

Video Games Bad Smells: What they are and how Developers Perceive Them - Online dataset.

Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta

Dataset, March, 2022

An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples.

Morteza Verdi, Ashkan Sami, Jafar Akhondali, Foutse Khomh, Gias Uddin, Alireza Karami Motlagh

IEEE Trans. Software Eng., 2022

An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets.

Gias Uddin, Yann-Gaël Guéhéneuc, Foutse Khomh, Chanchal K. Roy

ACM Trans. Softw. Eng. Methodol., 2022

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations.

Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh

ACM Trans. Softw. Eng. Methodol., 2022

Technical debts and faults in open-source quantum software systems: An empirical study.

Moses Openja, Mohammad Mehdi Morovati, Le An, Foutse Khomh, Mouna Abidi

J. Syst. Softw., 2022

A search-based framework for automatic generation of testing environments for cyber-physical systems.

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

Inf. Softw. Technol., 2022

DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment.

Ahmed Haj Yahmed, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour

Empir. Softw. Eng., 2022

Works for Me! Cannot Reproduce - A Large Scale Empirical Study of Non-reproducible Bugs.

Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio

Empir. Softw. Eng., 2022

FIXME: synchronize with database! An empirical study of data access self-admitted technical debt.

Biruk Asmare Muse, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol

Empir. Softw. Eng., 2022

Clones in deep learning code: what, where, and why?

Hadhemi Jebnoun, Md. Saidur Rahman, Foutse Khomh, Biruk Asmare Muse

Empir. Softw. Eng., 2022

Multi-language design smells: a backstage perspective.

Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh

Empir. Softw. Eng., 2022

Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?

Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh

CoRR, 2022

An Empirical Study of Library Usage and Dependency in Deep Learning Frameworks.

Mohamed Raed El aoun, Lionel Nganyewou Tidjon, Benjamin Rombaut, Foutse Khomh, Ahmed E. Hassan

CoRR, 2022

Reliable Malware Analysis and Detection using Topology Data Analysis.

Lionel Nganyewou Tidjon, Foutse Khomh

CoRR, 2022

Quality issues in Machine Learning Software Systems.

Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Foutse Khomh

CoRR, 2022

Threat Assessment in Machine Learning based Systems.

Lionel Nganyewou Tidjon, Foutse Khomh

CoRR, 2022

Never trust, always verify : a roadmap for Trustworthy AI?

Lionel Nganyewou Tidjon, Foutse Khomh

CoRR, 2022

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis.

Lionel Nganyewou Tidjon, Foutse Khomh

CoRR, 2022

Bug Characteristics in Quantum Software Ecosystem.

Mohamed Raed El aoun, Heng Li, Foutse Khomh, Lionel N. Tidjon

CoRR, 2022

Software-Engineering Design Patterns for Machine Learning Applications.

Hironori Washizaki, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Takeuchi, Naotake Natori, Takuo Doi, Satoshi Okuda

Computer, 2022

How to certify machine learning based safety-critical systems? A systematic literature review.

Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette

Autom. Softw. Eng., 2022

Faults in deep reinforcement learning programs: a taxonomy and a detection approach.

Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek

Autom. Softw. Eng., 2022

Do Developers Refactor Data Access Code? An Empirical Study.

Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol

Proceedings of the IEEE International Conference on Software Analysis, 2022

PaReco: patched clones and missed patches among the divergent variants of a software family.

Poedjadevie Kadjel Ramkisoen, John Businge, Brent van Bladel, Alexandre Decan, Serge Demeyer, Coen De Roover, Foutse Khomh

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Data quality and model under-specification issues (keynote).

Foutse Khomh

Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, 2022

Challenges in machine learning application development: an industrial experience report.

Md. Saidur Rahman, Foutse Khomh, Emilio Rivera, Yann-Gaël Guéhéneuc, Bernd Lehnert

Proceedings of the 1st Workshop on Software Engineering for Responsible AI, 2022

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

Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

AmbieGen tool at the SBST 2022 Tool Competition.

Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh

Proceedings of the 15th IEEE/ACM International Workshop on Search-Based Software Testing, 2022

SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design.

Houssem Ben Braiek, Ali Tfaily, Foutse Khomh, Thomas Reid, Ciro Guida

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions.

Saumendu Roy, Gabriel Laberge, Banani Roy, Foutse Khomh, Amin Nikanjam, Saikat Mondal

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

An Empirical Study of Challenges in Converting Deep Learning Models.

Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming Jack Jiang

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

An Empirical Study on the Usage of Automated Machine Learning Tools.

Forough Majidi, Moses Openja, Foutse Khomh, Heng Li

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Studying the Practices of Deploying Machine Learning Projects on Docker.

Moses Openja, Forough Majidi, Foutse Khomh, Bhagya Chembakottu, Heng Li

Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022

Identification of out-of-distribution cases of CNN using class-based surprise adequacy.

Mira Marhaba, Ettore Merlo, Foutse Khomh, Giuliano Antoniol

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

2021

Automatic Mining of Opinions Expressed About APIs in Stack Overflow.

Gias Uddin, Foutse Khomh

IEEE Trans. Software Eng., 2021

Understanding How and Why Developers Seek and Analyze API-Related Opinions.

Gias Uddin, Olga Baysal, Latifa Guerrouj, Foutse Khomh

IEEE Trans. Software Eng., 2021

Automatic API Usage Scenario Documentation from Technical Q&A Sites.

Gias Uddin, Foutse Khomh, Chanchal K. Roy

ACM Trans. Softw. Eng. Methodol., 2021

Are Multi-Language Design Smells Fault-Prone? An Empirical Study.

Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh

ACM Trans. Softw. Eng. Methodol., 2021

Shadow Program Committee Initiative: Process and Reflection.

Patanamon Thongtanunam, Ayushi Rastogi, Foutse Khomh, Serge Demeyer, Meiyappan Nagappan, Kelly Blincoe, Gregorio Robles

ACM SIGSOFT Softw. Eng. Notes, 2021

Improved retrieval of programming solutions with code examples using a multi-featured score.

Rodrigo F. Silva, Mohammad Masudur Rahman, Carlos Eduardo de Carvalho Dantas, Chanchal Kumar Roy, Foutse Khomh, Marcelo de Almeida Maia

J. Syst. Softw., 2021

Why do builds fail? - A conceptual replication study.

Amine Barrak, Ellis E. Eghan, Bram Adams, Foutse Khomh

J. Syst. Softw., 2021

What Do Practitioners Discuss about IoT and Industry 4.0 Related Technologies? Characterization and Identification of IoT and Industry 4.0 Categories in Stack Overflow Discussions.

Mohab Aly, Foutse Khomh, Soumaya Yacout

Internet Things, 2021

An empirical study of IoT topics in IoT developer discussions on Stack Overflow.

Gias Uddin, Fatima Sabir, Yann-Gaël Guéhéneuc, Omar Alam, Foutse Khomh

Empir. Softw. Eng., 2021

The forgotten role of search queries in IR-based bug localization: an empirical study.

Mohammad Masudur Rahman, Foutse Khomh, Shamima Yeasmin, Chanchal K. Roy

Empir. Softw. Eng., 2021

Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness.

Zeinab Azadeh Kermansaravi, Md. Saidur Rahman, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc

Empir. Softw. Eng., 2021

Reputation Gaming in Stack Overflow.

Iren Mazloomzadeh, Gias Udin, Foutse Khomh, Ashkan Sami

CoRR, 2021

Partial order: Finding Consensus among Uncertain Feature Attributions.

Gabriel Laberge, Yann Pequignot, Foutse Khomh, Mario Marchand, Alexandre Mathieu

CoRR, 2021

Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation.

Mbarka Soualhia, Foutse Khomh, Sofiène Tahar

Proceedings of the 9th International Symposium on Symbolic Computation in Software Science, 2021

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

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

CoRR, 2021

HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks.

Florian Tambon, Giulio Antoniol, Foutse Khomh

CoRR, 2021

Summarizing Relevant Parts from Technical Videos.

Mahmood Vahedi, Mohammad Masudur Rahman, Foutse Khomh, Gias Uddin, Giuliano Antoniol

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack Overflow.

Alaleh Hamidi, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta, Mohammad Hamidi

Proceedings of the 21st IEEE International Working Conference on Source Code Analysis and Manipulation, 2021

SWAT tool at the SBST 2021 Tool Competition.

Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh

Proceedings of the 14th IEEE/ACM International Workshop on Search-Based Software Testing, 2021

Data Driven Testing of Cyber Physical Systems.

Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh

Proceedings of the 14th IEEE/ACM International Workshop on Search-Based Software Testing, 2021

The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs.

Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods.

Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues.

Mohamed Raed El aoun, Heng Li, Foutse Khomh, Moses Openja

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Design Smells in Deep Learning Programs: An Empirical Study.

Amin Nikanjam, Foutse Khomh

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Assessing Developer Expertise from the Statistical Distribution of Programming Syntax Patterns.

Arghavan Moradi Dakhel, Michel C. Desmarais, Foutse Khomh

Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

Is Late Propagation a Harmful Code Clone Evolutionary Pattern? An Empirical Study.

Osama Ehsan, Liliane Barbour, Foutse Khomh, Ying Zou

Proceedings of the Code Clone Analysis, 2021

2020

A Large Scale Empirical Study of the Impact of Spaghetti Code and Blob Anti-patterns on Program Comprehension.

Cristiano Politowski, Foutse Khomh, Simone Romano, Giuseppe Scanniello, Fábio Petrillo, Yann-Gaël Guéhéneuc, Abdou Maiga

Dataset, January, 2020

A Dynamic and Failure-Aware Task Scheduling Framework for Hadoop.

Mbarka Soualhia, Foutse Khomh, Sofiène Tahar

IEEE Trans. Cloud Comput., 2020

The Diversity Crisis of Software Engineering for Artificial Intelligence.

Bram Adams, Foutse Khomh

IEEE Softw., 2020

On testing machine learning programs.

Houssem Ben Braiek, Foutse Khomh

J. Syst. Softw., 2020

A machine-learning based ensemble method for anti-patterns detection.

Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc

J. Syst. Softw., 2020

Mining API usage scenarios from stack overflow.

Gias Uddin, Foutse Khomh, Chanchal K. Roy

Inf. Softw. Technol., 2020

A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension.

Cristiano Politowski, Foutse Khomh, Simone Romano, Giuseppe Scanniello, Fábio Petrillo, Yann-Gaël Guéhéneuc, Abdou Maiga

Inf. Softw. Technol., 2020

Why reinventing the wheels? An empirical study on library reuse and re-implementation.

Bowen Xu, Le An, Ferdian Thung, Foutse Khomh, David Lo

Empir. Softw. Eng., 2020

RePOR: Mimicking humans on refactoring tasks. Are we there yet?

Rodrigo Morales, Foutse Khomh, Giuliano Antoniol

Empir. Softw. Eng., 2020

Are Multi-language Design Smells Prevalent? An Empirical Study.

Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh

CoRR, 2020

Developer-Driven Code Smell Prioritization.

Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

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

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

The Scent of Deep Learning Code: An Empirical Study.

Hadhemi Jebnoun, Houssem Ben Braiek, Mohammad Masudur Rahman, Foutse Khomh

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

Multi-language Design Smells: A Backstage Perspective.

Mouna Abidi, Moses Openja, Foutse Khomh

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

Practitioners' insights on machine-learning software engineering design patterns: a preliminary study.

Hironori Washizaki, Hironori Takeuchi, Foutse Khomh, Naotake Natori, Takuo Doi, Satoshi Okuda

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Analysis of Modern Release Engineering Topics : - A Large-Scale Study using StackOverflow -.

Moses Openja, Bram Adams, Foutse Khomh

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Why are Some Bugs Non-Reproducible? : -An Empirical Investigation using Data Fusion-.

Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Double Cycle Hybrid Testing of Hybrid Distributed IoT System.

Cyrine Zid, Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Towards the Definition of Patterns and Code Smells for Multi-language Systems.

Mouna Abidi, Foutse Khomh

Proceedings of the EuroPLoP '20: European Conference on Pattern Languages of Programs 2020, 2020

On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow.

Ehsan Firouzi, Ashkan Sami, Foutse Khomh, Gias Uddin

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

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-Gaël Guéhéneuc, Foutse Khomh

Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, 2020

Software Release Patterns When is it a good time to update a software component?

Solomon Berhe, Marc Maynard, Foutse Khomh

Proceedings of the 11th International Conference on Ambient Systems, 2020

2019

A large-scale empirical study of code smells in JavaScript projects.

David Johannes, Foutse Khomh, Giuliano Antoniol

Softw. Qual. J., 2019

Software Engineering for Machine Learning Systems (SEMLS) (NII Shonan Meeting 156).

Foutse Khomh, Fuyuki Ishikawa, Hiroshi Maruyama

NII Shonan Meet. Rep., 2019

Swarm debugging: The collective intelligence on interactive debugging.

Fábio Petrillo, Yann-Gaël Guéhéneuc, Marcelo Pimenta, Carla Maria Dal Sasso Freitas, Foutse Khomh

J. Syst. Softw., 2019

Is Fragmentation a Threat to the Success of the Internet of Things?

Mohab Aly, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Washizaki, Soumaya Yacout

IEEE Internet Things J., 2019

Enforcing security in Internet of Things frameworks: <i>A Systematic Literature Review</i>.

Mohab Aly, Foutse Khomh, Mohammed Haoues, Alejandro Quintero, Soumaya Yacout

Internet Things, 2019

An empirical study of sentiments in code reviews.

Ikram El Asri, Noureddine Kerzazi, Gias Uddin, Foutse Khomh, Mohammed Abdou Janati Idrissi

Inf. Softw. Technol., 2019

An empirical study of patch uplift in rapid release development pipelines.

Marco Castelluccio, Le An, Foutse Khomh

Empir. Softw. Eng., 2019

An empirical study of DLL injection bugs in the Firefox ecosystem.

Le An, Marco Castelluccio, Foutse Khomh

Empir. Softw. Eng., 2019

SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks.

Simon Msika, Alejandro Quintero, Foutse Khomh

CoRR, 2019

Machine Learning Software Engineering in Practice: An Industrial Case Study.

Md. Saidur Rahman, Emilio Rivera, Foutse Khomh, Yann-Gaël Guéhéneuc, Bernd Lehnert

CoRR, 2019

Studying Android App Popularity by Cross-Linking GitHub and Google Play Store.

John Businge, Moses Openja, David Kavaler, Engineer Bainomugisha, Foutse Khomh, Vladimir Filkov

Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs.

Houssem Ben Braiek, Foutse Khomh

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

Studying Software Engineering Patterns for Designing Machine Learning Systems.

Hironori Washizaki, Hiromu Uchida, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 10th International Workshop on Empirical Software Engineering in Practice, 2019

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks.

Houssem Ben Braiek, Foutse Khomh

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

Deep Learning Anti-Patterns from Code Metrics History.

Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

Towards crowd-sourced API documentation.

Gias Uddin, Foutse Khomh, Chanchal K. Roy

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

Anti-patterns for multi-language systems.

Mouna Abidi, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 24th European Conference on Pattern Languages of Programs, 2019

Code smells for multi-language systems.

Mouna Abidi, Manel Grichi, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 24th European Conference on Pattern Languages of Programs, 2019

Infrastructure fault detection and prediction in edge cloud environments.

Mbarka Soualhia, Chunyan Fu, Foutse Khomh

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

State of practices of Java native interface.

Manel Grichi, Mouna Abidi, Yann-Gaël Guéhéneuc, Foutse Khomh

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

Behind the scenes: developers' perception of multi-language practices.

Mouna Abidi, Manel Grichi, Foutse Khomh

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

Empirical Software Engineering.

Yann-Gaël Guéhéneuc, Foutse Khomh

Proceedings of the Handbook of Software Engineering., 2019

2018

EARMO: An Energy-Aware Refactoring Approach for Mobile Apps.

Rodrigo Morales, Rubén Saborido, Foutse Khomh, Francisco Chicano, Giuliano Antoniol

IEEE Trans. Software Eng., 2018

An app performance optimization advisor for mobile device app marketplaces.

Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba

Sustain. Comput. Informatics Syst., 2018

An investigation of the fault-proneness of clone evolutionary patterns.

Liliane Barbour, Le An, Foutse Khomh, Ying Zou, Shaohua Wang

Softw. Qual. J., 2018

An empirical study of crash-inducing commits in Mozilla Firefox.

Le An, Foutse Khomh, Yann-Gaël Guéhéneuc

Softw. Qual. J., 2018

Software Engineering for Machine-Learning Applications: The Road Ahead.

Foutse Khomh, Bram Adams, Jinghui Cheng, Marios Fokaefs, Giuliano Antoniol

IEEE Softw., 2018

Release Engineering 3.0.

Bram Adams, Stephany Bellomo, Christian Bird, Boris Debic, Foutse Khomh, Kim Moir, John ODuinn

IEEE Softw., 2018

Efficient refactoring scheduling based on partial order reduction.

Rodrigo Morales, Francisco Chicano, Foutse Khomh, Giuliano Antoniol

J. Syst. Softw., 2018

Understanding the impact of cloud patterns on performance and energy consumption.

Foutse Khomh, S. Amirhossein Abtahizadeh

J. Syst. Softw., 2018

ProMeTA: a taxonomy for program metamodels in program reverse engineering.

Hironori Washizaki, Yann-Gaël Guéhéneuc, Foutse Khomh

Empir. Softw. Eng., 2018

Noise in Mylyn interaction traces and its impact on developers and recommendation systems.

Zéphyrin Soh, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol

Empir. Softw. Eng., 2018

Getting the most from map data structures in Android.

Rubén Saborido, Rodrigo Morales, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol

Empir. Softw. Eng., 2018

Automated Refactoring: Can They Pass The Turing Test?

Rodrigo Morales, Foutse Khomh, Giuliano Antoniol

CoRR, 2018

Exact search-space size for the refactoring scheduling problem.

Rodrigo Morales, Francisco Chicano, Foutse Khomh, Giuliano Antoniol

Autom. Softw. Eng., 2018

Design patterns impact on software quality: Where are the theories?

Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 25th International Conference on Software Analysis, 2018

Keep it simple: Is deep learning good for linguistic smell detection?

Sarah Fakhoury, Venera Arnaoudova, Cedric Noiseux, Foutse Khomh, Giuliano Antoniol

Proceedings of the 25th International Conference on Software Analysis, 2018

Kubernetes or OpenShift? Which Technology Best Suits Eclipse Hono IoT Deployments.

Mohab Aly, Foutse Khomh, Soumaya Yacout

Proceedings of the 11th IEEE Conference on Service-Oriented Computing and Applications, 2018

The State of Practice on Virtual Reality (VR) Applications: An Exploratory Study on Github and Stack Overflow.

Naoures Ghrairi, Segla Kpodjedo, Amine Barrak, Fábio Petrillo, Foutse Khomh

Proceedings of the 2018 IEEE International Conference on Software Quality, 2018

Developer interaction traces backed by IDE screen recordings from think aloud sessions.

Aiko Yamashita, Fábio Petrillo, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

The open-closed principle of modern machine learning frameworks.

Houssem Ben Braiek, Foutse Khomh, Bram Adams

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Just-in-time detection of protection-impacting changes on WordPress and MediaWiki.

Amine Barrak, Marc-André Laverdière, Foutse Khomh, Le An, Ettore Merlo

Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018

Is it a bug or an enhancement?: a text-based approach to classify change requests.

Giuliano Antoniol, Kamel Ayari, Massimiliano Di Penta, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018

Report of iMLSE-18: the 1^st International Workshop on Machine Learning Systems Engineering.

Fuyuki Ishikawa, Foutse Khomh, Nobukazu Yoshioka, Giuliano Antoniol

Proceedings of the International Workshop on Evidence-based Security and Privacy in the Wild and the 1st International Workshop on Machine Learning Systems Engineering co-located with 25th Asia-Pacific Software Engineering Conference (APSEC 2018), 2018

Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox.

Le An, Foutse Khomh, Shane McIntosh, Marco Castelluccio

Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017

Investigating the relation between lexical smells and change- and fault-proneness: an empirical study.

Latifa Guerrouj, Zeinab Azadeh Kermansaravi, Venera Arnaoudova, Benjamin C. M. Fung, Foutse Khomh, Giuliano Antoniol, Yann-Gaël Guéhéneuc

Softw. Qual. J., 2017

Guest editor's introduction to the Special Issue on Source Code Analysis and Manipulation (SCAM 2015).

Foutse Khomh, David Lo, Michael W. Godfrey

J. Softw. Evol. Process., 2017

Task Scheduling in Big Data Platforms: A Systematic Literature Review.

Mbarka Soualhia, Foutse Khomh, Sofiène Tahar

J. Syst. Softw., 2017

On the use of developers' context for automatic refactoring of software anti-patterns.

Rodrigo Morales, Zéphyrin Soh, Foutse Khomh, Giuliano Antoniol, Francisco Chicano

J. Syst. Softw., 2017

An empirical study of code smells in JavaScript projects.

Amir Saboury, Pooya Musavi, Foutse Khomh, Giulio Antoniol

Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

Stack Overflow: A code laundering platform?

Le An, Ons Mlouki, Foutse Khomh, Giuliano Antoniol

Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

How Do Developers Toggle Breakpoints? Observational Studies.

Fábio Petrillo, Hyan Mandian, Aiko Yamashita, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Code Authorship and Fault-proneness of Open-Source Android Applications: An Empirical Study.

John Businge, Simon Kawuma, Engineer Bainomugisha, Foutse Khomh, Evarist Nabaasa

Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering, 2017

Software evolution and quality data from controlled, multiple, industrial case studies.

Aiko Yamashita, S. Amirhossein Abtahizadeh, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 14th International Conference on Mining Software Repositories, 2017

Opiner: an opinion search and summarization engine for APIs.

Gias Uddin, Foutse Khomh

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Automatic summarization of API reviews.

Gias Uddin, Foutse Khomh

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Comprehension of ads-supported and paid Android applications: are they different?

Rubén Saborido, Foutse Khomh, Giuliano Antoniol, Yann-Gaël Guéhéneuc

Proceedings of the 25th International Conference on Program Comprehension, 2017

Broadcast vs. Unicast Review Technology: Does It Matter?

Foundjem Armstrong, Foutse Khomh, Bram Adams

Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

Recommending when Design Technical Debt Should be Self-Admitted.

Fiorella Zampetti, Cedric Noiseux, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta

Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

Is it Safe to Uplift this Patch?: An Empirical Study on Mozilla Firefox.

Marco Castelluccio, Le An, Foutse Khomh

Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

2016

An exploratory study of api changes and usages based on apache and eclipse ecosystems.

Wei Wu, Foutse Khomh, Bram Adams, Yann-Gaël Guéhéneuc, Giuliano Antoniol

Empir. Softw. Eng., 2016

Improving bug management using correlations in crash reports.

Shaohua Wang, Foutse Khomh, Ying Zou

Empir. Softw. Eng., 2016

Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults.

Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Foutse Khomh, Mohammad Zulkernine

Empir. Softw. Eng., 2016

Anti-patterns and the energy efficiency of Android applications.

Rodrigo Morales, Rubén Saborido, Foutse Khomh, Francisco Chicano, Giuliano Antoniol

CoRR, 2016

Do Code Smells Impact the Effort of Different Maintenance Programming Activities?

Zéphyrin Soh, Aiko Yamashita, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

Optimizing User Experience in Choosing Android Applications.

Rubén Saborido, Giovanni Beltrame, Foutse Khomh, Enrique Alba, Giuliano Antoniol

Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

Finding the Best Compromise Between Design Quality and Testing Effort During Refactoring.

Rodrigo Morales, Aminata Sabane, Pooya Musavi, Foutse Khomh, Francisco Chicano, Giuliano Antoniol

Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

On the Detection of Licenses Violations in the Android Ecosystem.

Ons Mlouki, Foutse Khomh, Giuliano Antoniol

Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

Studying the Relation between Anti-Patterns in Design Models and in Source Code.

Bilal Karasneh, Michel R. V. Chaudron, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

Towards Understanding Interactive Debugging.

Fábio Petrillo, Zéphyrin Soh, Foutse Khomh, Marcelo Pimenta, Carla M. D. S. Freitas, Yann-Gaël Guéhéneuc

Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

Understanding interactive debugging with Swarm Debug Infrastructure.

Fábio Petrillo, Zéphyrin Soh, Foutse Khomh, Marcelo Soares Pimenta, Carla Maria Dal Sasso Freitas, Yann-Gaël Guéhéneuc

Proceedings of the 24th IEEE International Conference on Program Comprehension, 2016

Experience Report: An Empirical Study of API Failures in OpenStack Cloud Environments.

Pooya Musavi, Bram Adams, Foutse Khomh

Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

A Study of the Energy Consumption of Databases and Cloud Patterns.

Béchir Bani, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

A Taxonomy for Program Metamodels in Program Reverse Engineering.

Hironori Washizaki, Yann-Gaël Guéhéneuc, Foutse Khomh

Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

Software analytics: challenges and opportunities.

Latifa Guerrouj, Olga Baysal, David Lo, Foutse Khomh

Proceedings of the 38th International Conference on Software Engineering, 2016

2015

The Practice and Future of Release Engineering: A Roundtable with Three Release Engineers.

Bram Adams, Stephany Bellomo, Christian Bird, Tamara Marshall-Keim, Foutse Khomh, Kim Moir

IEEE Softw., 2015

On the impact of sampling frequency on software energy measurements.

Rubén Saborido, Venera Arnaoudova, Giovanni Beltrame, Foutse Khomh, Giuliano Antoniol

PeerJ Prepr., 2015

An approach to extract RESTful services from web applications.

Bipin Upadhyaya, Ying Zou, Foutse Khomh

Int. J. Bus. Process. Integr. Manag., 2015

On rapid releases and software testing: a case study and a semi-systematic literature review.

Mika V. Mäntylä, Bram Adams, Foutse Khomh, Emelie Engström, Kai Petersen

Empir. Softw. Eng., 2015

Understanding the impact of rapid releases on software quality - The case of firefox.

Foutse Khomh, Bram Adams, Tejinder Dhaliwal, Ying Zou

Empir. Softw. Eng., 2015

Predicting Scheduling Failures in the Cloud.

Mbarka Soualhia, Foutse Khomh, Sofiène Tahar

CoRR, 2015

Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects.

Rodrigo Morales, Shane McIntosh, Foutse Khomh

Proceedings of the 22nd IEEE International Conference on Software Analysis, 2015

Challenges and Issues of Mining Crash Reports.

Le An, Foutse Khomh

Proceedings of the 1st IEEE International Workshop on Software Analytics, 2015

An Empirical Study of Highly Impactful Bugs in Mozilla Projects.

Le An, Foutse Khomh

Proceedings of the 2015 IEEE International Conference on Software Quality, 2015

An Empirical Study of Crash-inducing Commits in Mozilla Firefox.

Le An, Foutse Khomh

Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering, 2015

ATLAS: An AdapTive faiLure-Aware Scheduler for Hadoop.

Mbarka Soualhia, Foutse Khomh, Sofiène Tahar

Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

How green are cloud patterns?

S. Amirhossein Abtahizadeh, Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

3rd International Workshop on Release Engineering (RELENG 2015).

Bram Adams, Stephany Bellomo, Christian Bird, Foutse Khomh, Kim Moir

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Predicting Scheduling Failures in the Cloud: A Case Study with Google Clusters and Hadoop on Amazon EMR.

Mbarka Soualhia, Foutse Khomh, Sofiène Tahar

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Noises in Interaction Traces Data and Their Impact on Previous Research Studies.

Zéphyrin Soh, Thomas Drioul, Pierre-Antoine Rappe, Foutse Khomh, Yann-Gaël Guéhéneuc, Naji Habra

Proceedings of the 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2015

2014

An empirical study of the effect of file editing patterns on software quality.

Feng Zhang, Foutse Khomh, Ying Zou, Ahmed E. Hassan

J. Softw. Evol. Process., 2014

On improving the dependability of cloud applications with fault-tolerance.

Foutse Khomh

Proceedings of the WICSA 2014 Companion Volume, Sydney, NSW, Australia, April 7-11, 2014, 2014

Investigating the Change-Proneness of Service Patterns and Antipatterns.

Francis Palma, Le An, Foutse Khomh, Naouel Moha, Yann-Gaël Guéhéneuc

Proceedings of the 7th IEEE International Conference on Service-Oriented Computing and Applications, 2014

Supplementary Bug Fixes vs. Re-opened Bugs.

Le An, Foutse Khomh, Bram Adams

Proceedings of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation, 2014

Anti-pattern Mutations and Fault-proneness.

Fehmi Jaafar, Foutse Khomh, Yann-Gaël Guéhéneuc, Mohammad Zulkernine

Proceedings of the 2014 14th International Conference on Quality Software, 2014

Why Do Automated Builds Break? An Empirical Study.

Noureddine Kerzazi, Foutse Khomh, Bram Adams

Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014

A qualitative analysis of software build system changes and build ownership styles.

Mini Shridhar, Bram Adams, Foutse Khomh

Proceedings of the 2014 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2014

Factors impacting rapid releases: an industrial case study.

Noureddine Kerzazi, Foutse Khomh

Proceedings of the 2014 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2014

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. Germán

Proceedings of the 2014 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2014

An empirical study on the fault-proneness of clone migration in clone genealogies.

Shuai Xie, Foutse Khomh, Ying Zou, Iman Keivanloo

Proceedings of the 2014 Software Evolution Week, 2014

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

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2013

An empirical study of faults in late propagation clone genealogies.

Liliane Barbour, Foutse Khomh, Ying Zou

J. Softw. Evol. Process., 2013

Analysing Anti-patterns Static Relationships with Design Patterns.

Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Foutse Khomh

Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2013

On the effect of program exploration on maintenance tasks.

Zéphyrin Soh, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol, Bram Adams

Proceedings of the 20th Working Conference on Reverse Engineering, 2013

Towards understanding how developers spend their effort during maintenance activities.

Zéphyrin Soh, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol

Proceedings of the 20th Working Conference on Reverse Engineering, 2013

Mining the relationship between anti-patterns dependencies and fault-proneness.

Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Foutse Khomh

Proceedings of the 20th Working Conference on Reverse Engineering, 2013

An empirical study of the fault-proneness of clone mutation and clone migration.

Shuai Xie, Foutse Khomh, Ying Zou

Proceedings of the 10th Working Conference on Mining Software Repositories, 2013

Improving bug localization using correlations in crash reports.

Shaohua Wang, Foutse Khomh, Ying Zou

Proceedings of the 10th Working Conference on Mining Software Repositories, 2013

How Does Context Affect the Distribution of Software Maintainability Metrics?

Feng Zhang, Audris Mockus, Ying Zou, Foutse Khomh, Ahmed E. Hassan

Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013

Predicting Bugs Using Antipatterns.

Seyyed Ehsan Salamati Taba, Foutse Khomh, Ying Zou, Ahmed E. Hassan, Meiyappan Nagappan

Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013

On Rapid Releases and Software Testing.

Mika Mäntylä, Foutse Khomh, Bram Adams, Emelie Engström, Kai Petersen

Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013

1st international workshop on release engineering (RELENG 2013).

Bram Adams, Christian Bird, Foutse Khomh, Kim Moir

Proceedings of the 35th International Conference on Software Engineering, 2013

2012

An exploratory study of the impact of antipatterns on class change- and fault-proneness.

Foutse Khomh, Massimiliano Di Penta, Yann-Gaël Guéhéneuc, Giuliano Antoniol

Empir. Softw. Eng., 2012

An Empirical Study on Factors Impacting Bug Fixing Time.

Feng Zhang, Foutse Khomh, Ying Zou, Ahmed E. Hassan

Proceedings of the 19th Working Conference on Reverse Engineering, 2012

Analyzing the Impact of Antipatterns on Change-Proneness Using Fine-Grained Source Code Changes.

Daniele Romano, Paulius Raila, Martin Pinzger, Foutse Khomh

Proceedings of the 19th Working Conference on Reverse Engineering, 2012

Inferring Repository File Structure Modifications Using Nearest-Neighbor Clone Detection.

Thierry Lavoie, Foutse Khomh, Ettore Merlo, Ying Zou

Proceedings of the 19th Working Conference on Reverse Engineering, 2012

A concept analysis approach for guiding users in service discovery.

Bipin Upadhyaya, Foutse Khomh, Ying Zou, Alex Lau, Joanna Ng

Proceedings of the 2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2012

Extracting RESTful services from Web applications.

Bipin Upadhyaya, Foutse Khomh, Ying Zou

Proceedings of the 2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2012

Do faster releases improve software quality? An empirical case study of Mozilla Firefox.

Foutse Khomh, Tejinder Dhaliwal, Ying Zou, Bram Adams

Proceedings of the 9th IEEE Working Conference of Mining Software Repositories, 2012

Adapting Linux for mobile platforms: An empirical study of Android.

Foutse Khomh, Hao Yuan, Ying Zou

Proceedings of the 28th IEEE International Conference on Software Maintenance, 2012

Recovering commit dependencies for selective code integration in software product lines.

Tejinder Dhaliwal, Foutse Khomh, Ying Zou, Ahmed E. Hassan

Proceedings of the 28th IEEE International Conference on Software Maintenance, 2012

2011

BDTEX: A GQM-based Bayesian approach for the detection of antipatterns.

Foutse Khomh, Stéphane Vaucher, Yann-Gaël Guéhéneuc, Houari A. Sahraoui

J. Syst. Softw., 2011

An Entropy Evaluation Approach for Triaging Field Crashes: A Case Study of Mozilla Firefox.

Foutse Khomh, Brian Chan, Ying Zou, Ahmed E. Hassan

Proceedings of the 18th Working Conference on Reverse Engineering, 2011

Improving the Modifiability of the Architecture of Business Applications.

Xulin Zhao, Foutse Khomh, Ying Zou

Proceedings of the 11th International Conference on Quality Software, 2011

An Automatic Approach for Extracting Process Knowledge from the Web.

Hua Xiao, Bipin Upadhyaya, Foutse Khomh, Ying Zou, Joanna Ng, Alex Lau

Proceedings of the IEEE International Conference on Web Services, 2011

Predicting post-release defects using pre-release field testing results.

Foutse Khomh, Brian Chan, Ying Zou, Anand Sinha, Dave Dietz

Proceedings of the IEEE 27th International Conference on Software Maintenance, 2011

Classifying field crash reports for fixing bugs: A case study of Mozilla Firefox.

Tejinder Dhaliwal, Foutse Khomh, Ying Zou

Proceedings of the IEEE 27th International Conference on Software Maintenance, 2011

Late propagation in software clones.

Liliane Barbour, Foutse Khomh, Ying Zou

Proceedings of the IEEE 27th International Conference on Software Maintenance, 2011

An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension.

Marwen Abbes, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol

Proceedings of the 15th European Conference on Software Maintenance and Reengineering, 2011

2010

IDS: An Immune-Inspired Approach for the Detection of Software Design Smells.

Salima Hassaine, Foutse Khomh, Yann-Gaël Guéhéneuc, Sylvie Hamel

Proceedings of the Quality of Information and Communications Technology, 2010

SQUANER: A framework for monitoring the quality of software systems.

Nicolas Haderer, Foutse Khomh, Giuliano Antoniol

Proceedings of the 26th IEEE International Conference on Software Maintenance (ICSM 2010), 2010

Numerical Signatures of Antipatterns: An Approach Based on B-Splines.

Rocco Oliveto, Foutse Khomh, Giuliano Antoniol, Yann-Gaël Guéhéneuc

Proceedings of the 14th European Conference on Software Maintenance and Reengineering, 2010

2009

Tracking Design Smells: Lessons from a Study of God Classes.

Stéphane Vaucher, Foutse Khomh, Naouel Moha, Yann-Gaël Guéhéneuc

Proceedings of the 16th Working Conference on Reverse Engineering, 2009

An Exploratory Study of the Impact of Code Smells on Software Change-proneness.

Foutse Khomh, Massimiliano Di Penta, Yann-Gaël Guéhéneuc

Proceedings of the 16th Working Conference on Reverse Engineering, 2009

SQUAD: Software Quality Understanding through the Analysis of Design.

Foutse Khomh

Proceedings of the 16th Working Conference on Reverse Engineering, 2009

A Bayesian Approach for the Detection of Code and Design Smells.

Foutse Khomh, Stéphane Vaucher, Yann-Gaël Guéhéneuc, Houari A. Sahraoui

Proceedings of the Ninth International Conference on Quality Software, 2009

Playing roles in design patterns: An empirical descriptive and analytic study.

Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol

Proceedings of the 25th IEEE International Conference on Software Maintenance (ICSM 2009), 2009

2008

Génération automatique d'algorithmes de détection des défauts de conception.

Naouel Moha, Foutse Khomh, Yann-Gaël Guéhéneuc, Laurence Duchien, Anne-Françoise Le Meur

Proceedings of the Langages et Modèles à Objets, 2008

Do Design Patterns Impact Software Quality Positively?

Foutse Khomh, Yann-Gaël Guéhéneuc

Proceedings of the 12th European Conference on Software Maintenance and Reengineering, 2008