Foutse Khomh

489 papers A* 11A 67B 4C 16Misc 5Journal 305Unranked 72
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Empirical Study of Policy-as-Code Adoption in Open-Source Software Projects.
CoRR
Patrick Loic Foalem, Foutse Khomh, Léuson M. P. da Silva, Ettore Merlo
2026 J jnl
An efficient model maintenance approach for MLOps.
Empir. Softw. Eng.
Forough Majidi, Foutse Khomh, Heng Li, Amin Nikanjam
2026 J jnl
Characterizing Faults in Agentic AI: A Taxonomy of Types, Symptoms, and Root Causes.
CoRR
Mehil B. Shah, Mohammad Mehdi Morovati, Mohammad Masudur Rahman, Foutse Khomh
2026 J jnl
Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing.
CoRR
Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek, Amel Bennaceur, Foutse Khomh
2026 J jnl
Empirical Characterization of Logging Smells in Machine Learning Code.
CoRR
Patrick Loic Foalem, Léuson M. P. da Silva, Foutse Khomh, Ettore Merlo, Heng Li
2026 J jnl
Empirical Characterization of Logging Smells in Machine Learning Code.
CoRR
Patrick Loic Foalem, Léuson M. P. da Silva, Foutse Khomh, Heng Li, Ettore Merlo
2026 J jnl
Evaluating Implicit Regulatory Compliance in LLM Tool Invocation via Logic-Guided Synthesis.
CoRR
Da Song, Yuheng Huang, Boqi Chen, Tianshuo Cong, Randy Goebel, Lei Ma, Foutse Khomh
2026 J jnl
Improving the Robustness of Large Language Models for Code Tasks via Fine-tuning with Perturbed Data.
CoRR
Yang Liu, Armstrong Foundjem, Xingfang Wu, Heng Li, Foutse Khomh
2026 J jnl
PrismBench: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search.
Trans. Mach. Learn. Res.
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2026 J jnl
QUARE: Multi-Agent Negotiation for Balancing Quality Attributes in Requirements Engineering.
CoRR
Haowei Cheng, Milhan Kim, Foutse Khomh, Teeradaj Racharak, Nobukazu Yoshioka, Naoyasu Ubayashi, Hironori Washizaki
2026 J jnl
Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy.
CoRR
Mina Taraghi, Mohammad Mehdi Morovati, Foutse Khomh
2026 J jnl
Secure Tool Manifest and Digital Signing Solution for Verifiable MCP and LLM Pipelines.
CoRR
Saeid Jamshidi, Kawser Wazed Nafi, Arghavan Moradi Dakhel, Foutse Khomh, Amin Nikanjam, Mohammad Hamdaqa
2026 J jnl
Securing Time in Energy IoT: A Clock-Dynamics-Aware Spatio-Temporal Graph Attention Network for Clock Drift Attacks and Y2K38 Failures.
CoRR
Saeid Jamshidi, Omar Abdul Wahab, Rolando Herrero, Foutse Khomh
2026 J jnl
Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway.
IEEE Internet Things J.
Saeid Jamshidi, Omar Abdul Wahab, Rolando Herrero, Foutse Khomh, Martine Bellaïche, Samira Keivanpour, Negar Shahabi, Amin Nikanjam, Kawser Wazed Nafi
2026 J jnl
Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models.
CoRR
Gianmario Voria, Moses Openja, Foutse Khomh, Gemma Catolino, Fabio Palomba
2026 J jnl
Tri-LLM Cooperative Federated Zero-Shot Intrusion Detection with Semantic Disagreement and Trust-Aware Aggregation.
CoRR
Saeid Jamshidi, Omar Abdul Wahab, Foutse Khomh, Kawser Wazed Nafi
2025 — conf
A Dynamic Security Pattern Selection Framework Using Deep Reinforcement Learning.
SSE
Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh
2025 J jnl
A Survey of Bugs in AI-Generated Code.
CoRR
Ruofan Gao, Amjed Tahir, Peng Liang, Teo Susnjak, Foutse Khomh
2025 A conf
A Taxonomy of Inefficiencies in LLM-Generated Python Code.
ICSME
Altaf Allah Abbassi, Léuson M. P. da Silva, Amin Nikanjam, Foutse Khomh
2025 J jnl
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons.
CoRR
Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade-Montixi, Kurt D. Bollacker, Felix Friedrich, Ryan Tsang, Bertie Vidgen, Alicia Parrish, Chris Knotz, Eleonora Presani, Jonathan Bennion, Marisa Ferrara Boston, Mike Kuniavsky, Wiebke Hutiri, James Ezick, Malek Ben Salem, Rajat Sahay, Sujata S. Goswami, Usman Gohar, Ben Huang, Supheakmungkol Sarin, Elie Alhajjar, Canyu Chen, Roman Eng, Kashyap Ramanandula Manjusha, Virendra Mehta, Eileen Long, Murali Emani, Natan Vidra, Benjamin Rukundo, Abolfazl Shahbazi, Kongtao Chen, Rajat Ghosh, Vithursan Thangarasa, Pierre Peigné, Abhinav Singh, Max Bartolo, Satyapriya Krishna, Mubashara Akhtar, Rafael Gold, Cody Coleman, Luis Oala, Vassil Tashev, Joseph Marvin Imperial, Amy Russ, Sasidhar Kunapuli, Nicolas Miailhe, Julien Delaunay, Bhaktipriya Radharapu, Rajat Shinde, Tuesday, Debojyoti Dutta, Declan Grabb, Ananya Gangavarapu, Saurav Sahay, Agasthya Gangavarapu, Patrick Schramowski, Stephen Singam, Tom David, Xudong Han, Priyanka Mary Mammen, Tarunima Prabhakar, Venelin Kovatchev, Ahmed Ahmed, Kelvin N. Manyeki, Sandeep Madireddy, Foutse Khomh, Fedor Zhdanov, Joachim Baumann, Nina Vasan, Xianjun Yang, Carlos Mougn, Jibin Rajan Varghese, Hussain Chinoy, Seshakrishna Jitendar, Manil Maskey, Claire V. Hardgrove, Tianhao Li, Aakash Gupta, Emil Joswin, Yifan Mai, Shachi H. Kumar, Cigdem Patlak, Kevin Lu, Vincent Alessi, Sree Bhargavi Balija, Chenhe Gu, Robert Sullivan, James Gealy, Matt Lavrisa, James Goel, Peter Mattson, Percy Liang, Joaquin Vanschoren
2025 J jnl
Adversarial Attack Classification and Robustness Testing for Large Language Models for Code.
CoRR
Yang Liu, Armstrong Foundjem, Foutse Khomh, Heng Li
2025 J jnl
Adversarial attack classification and robustness testing for large language models for code.
Empir. Softw. Eng.
Yang Liu, Armstrong Foundjem, Foutse Khomh, Heng Li
2025 J jnl
An Empirical Study of Testing Machine Learning in the Wild.
ACM Trans. Softw. Eng. Methodol.
Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming (Jack) Jiang, Mouna Abidi, Ahmed E. Hassan
2025 J jnl
An Empirical Study on Method-Level Performance Evolution in Open-Source Java Projects.
CoRR
Kaveh Shahedi, Nana Gyambrah, Heng Li, Maxime Lamothe, Foutse Khomh
2025 J jnl
Anti-patterns and Code Smells for Multi-language Systems.
Trans. Pattern Lang. Program.
Mouna Abidi, Manel Grichi, Foutse Khomh, Yann-Gaël Guéhéneuc
2025 J jnl
Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: A Systematic Review.
CoRR
Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh, Rasoul Rasta
2025 J jnl
Application of deep reinforcement learning for intrusion detection in Internet of Things: A systematic review.
Internet Things
Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh, Rasoul Rasta
2025 J jnl
Assessing the adoption of security policies by developers in terraform across different cloud providers.
Empir. Softw. Eng.
Alexandre Verdet, Mohammad Hamdaqa, Léuson M. P. da Silva, Foutse Khomh
2025 — conf
Automated UML Visualization of Software Ecosystems: Tracking Versions, Dependencies, and Security Updates.
ANT/EDI40
Vanessa Kan, M. P. Lnu, Solomon Berhe, C. El Kari, M. Maynard, Foutse Khomh
2025 J jnl
BloomAPR: A Bloom's Taxonomy-based Framework for Assessing the Capabilities of LLM-Powered APR Solutions.
CoRR
Yinghang Ma, Jiho Shin, Léuson M. P. da Silva, Zhen Ming Jiang, Song Wang, Foutse Khomh, Shin Hwei Tan
2025 J jnl
Bugs in large language models generated code: an empirical study.
Empir. Softw. Eng.
Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol
2025 J jnl
Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways.
CoRR
Saeid Jamshidi, Foutse Khomh, Kawser Wazed Nafi, Amin Nikanjam, Samira Keivanpour, Omar Abdel Wahab, Martine Bellaïche
2025 J jnl
Correction to: Assessing the adoption of security policies by developers in terraform across different cloud providers.
Empir. Softw. Eng.
Alexandre Verdet, Mohammad Hamdaqa, Léuson M. P. da Silva, Foutse Khomh
2025 — conf
Deep Reinforcement Learning-Based Intrusion Detection System: Defending Edge Gateways Against Mirai and Gafgyt.
FiCloud
Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh
2025 J jnl
DeepCodeProbe: Evaluating Code Representation Quality in Models Trained on Code.
Empir. Softw. Eng.
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2025 B conf
Diffusion-Based Adversarial Purification for Intrusion Detection.
DBSec
Mohamed Amine Merzouk, Erwan Beurier, Reda Yaich, Nora Boulahia-Cuppens, Frédéric Cuppens, Foutse Khomh
2025 J jnl
Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs.
CoRR
Mina Taraghi, Yann Pequignot, Amin Nikanjam, Mohamed Amine Merzouk, Foutse Khomh
2025 J jnl
Energy-Efficient Multi-LLM Reasoning for Binary-Free Zero-Day Detection in IoT Firmware.
CoRR
Saeid Jamshidi, Omar Abdel Wahab, Martine Bellaïche, Foutse Khomh
2025 J jnl
Evaluating Machine Learning-Driven Intrusion Detection Systems in IoT: Performance and Energy Consumption.
CoRR
Saeid Jamshidi, Kawser Wazed Nafi, Amin Nikanjam, Foutse Khomh
2025 J jnl
Evaluating and Enhancing Segmentation Model Robustness with Metamorphic Testing.
CoRR
Seif Mzoughi, Mohamed Elshafeia, Foutse Khomh
2025 J jnl
Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption.
Comput. Ind. Eng.
Saeid Jamshidi, Kawser Wazed Nafi, Amin Nikanjam, Foutse Khomh
2025 J jnl
FairFLRep: Fairness aware fault localization and repair of Deep Neural Networks.
CoRR
Moses Openja, Paolo Arcaini, Foutse Khomh, Fuyuki Ishikawa
2025 A* conf
From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool.
ASE
Kaveh Shahedi, Matthew Khouzam, Heng Li, Maxime Lamothe, Foutse Khomh
2025 J jnl
From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool.
CoRR
Kaveh Shahedi, Matthew Khouzam, Heng Li, Maxime Lamothe, Foutse Khomh
2025 J jnl
Guest Editorial: Operationalizing Responsible AI.
IEEE Trans. Artif. Intell.
Qinghua Lu, Apostol Vassilev, Jun Zhu, Foutse Khomh
2025 J jnl
Harnessing pre-trained generalist agents for software engineering tasks.
Empir. Softw. Eng.
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
2025 J jnl
Imitation Game: Reproducing Deep Learning Bugs Leveraging an Intelligent Agent.
CoRR
Mehil B. Shah, Mohammad Masudur Rahman, Foutse Khomh
2025 A conf
JPerfEvo: A Tool for Tracking Method-Level Performance Changes in Java Projects.
MSR
Kaveh Shahedi, Maxime Lamothe, Foutse Khomh, Heng Li
2025 — conf
Kernel-Level Event-Based Performance Anomaly Detection in Software Systems under Varying Load Conditions.
ICPE (Companion)
Anthonia Njoku, Heng Li, Foutse Khomh
2025 J jnl
LLMs and Stack Overflow discussions: Reliability, impact, and challenges.
J. Syst. Softw.
Léuson M. P. da Silva, Jordan Samhi, Foutse Khomh
2025 J jnl
Leveraging Data Characteristics for Bug Localization in Deep Learning Programs.
ACM Trans. Softw. Eng. Methodol.
Ruchira Manke, Mohammad Wardat, Foutse Khomh, Hridesh Rajan
2025 J jnl
Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things.
CoRR
Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh
2025 J jnl
Lightweight Autoencoder-Isolation Forest Anomaly Detection for Green IoT Edge Gateways.
CoRR
Saeid Jamshidi, Fatemeh Erfan, Omar Abdel Wahab, Martine Bellaïche, Foutse Khomh
2025 J jnl
Logging Requirement for Continuous Auditing of Responsible Machine Learning-based Applications.
CoRR
Patrick Loic Foalem, Léuson M. P. da Silva, Foutse Khomh, Heng Li, Ettore Merlo
2025 J jnl
Logging requirement for continuous auditing of responsible machine learning-based applications.
Empir. Softw. Eng.
Patrick Loic Foalem, Léuson M. P. da Silva, Foutse Khomh, Heng Li, Ettore Merlo
2025 J jnl
MLOps, LLMOps, FMOps, and Beyond.
IEEE Softw.
Chakkrit Kla Tantithamthavorn, Fabio Palomba, Foutse Khomh, Joselito Joey Chua
2025 A* conf
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation.
EMNLP
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 A* conf
Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning.
ICSE
Ruchira Manke, Mohammad Wardat, Foutse Khomh, Hridesh Rajan
2025 J jnl
Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning.
CoRR
Ruchira Manke, Mohammad Wardat, Foutse Khomh, Hridesh Rajan
2025 J jnl
Multi-Agent Framework for Threat Mitigation and Resilience in AI-Based Systems.
CoRR
Armstrong Foundjem, Lionel Nganyewou Tidjon, Léuson M. P. da Silva, Foutse Khomh
2025 J jnl
One Size Does Not Fit All: Architecture-Aware Adaptive Batch Scheduling with DEBA.
CoRR
François Belias, Naser Ezzati-Jivan, Foutse Khomh
2025 J jnl
Performance Smells in ML and Non-ML Python Projects: A Comparative Study.
CoRR
François Belias, Léuson M. P. da Silva, Foutse Khomh, Cyrine Zid
2025 J jnl
Prism: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search.
CoRR
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2025 J jnl
Protecting Privacy in Software Logs: What Should Be Anonymized?
Proc. ACM Softw. Eng.
Roozbeh Aghili, Heng Li, Foutse Khomh
2025 J jnl
QMon: Monitoring the Execution of Quantum Circuits with Mid-Circuit Measurement and Reset.
CoRR
Ning Ma, Jianjun Zhao, Foutse Khomh, Shaukat Ali, Heng Li
2025 J jnl
ReCatcher: Towards LLMs Regression Testing for Code Generation.
CoRR
Altaf Allah Abbassi, Léuson M. P. da Silva, Amin Nikanjam, Foutse Khomh
2025 J jnl
RefAgent: A Multi-agent LLM-based Framework for Automatic Software Refactoring.
CoRR
Khouloud Oueslati, Maxime Lamothe, Foutse Khomh
2025 J jnl
Refactoring with LLMs: Bridging Human Expertise and Machine Understanding.
CoRR
Yonnel Chen Kuang Piao, Jean Carlors Paul, Léuson M. P. da Silva, Arghavan Moradi Dakhel, Mohammad Hamdaqa, Foutse Khomh
2025 J jnl
Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems.
CoRR
Dmytro Humeniuk, Foutse Khomh
2025 J jnl
Reputation Gaming in Crowd Technical Knowledge Sharing.
ACM Trans. Softw. Eng. Methodol.
Iren Mazloomzadeh, Gias Uddin, Foutse Khomh, Ashkan Sami
2025 J jnl
SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs.
CoRR
Roozbeh Aghili, Xingfang Wu, Foutse Khomh, Heng Li
2025 J jnl
Securing the Model Context Protocol: Defending LLMs Against Tool Poisoning and Adversarial Attacks.
CoRR
Saeid Jamshidi, Kawser Wazed Nafi, Arghavan Moradi Dakhel, Negar Shahabi, Foutse Khomh, Naser Ezzati-Jivan
2025 J jnl
Self-adaptive cyber defense for sustainable IoT: A DRL-based IDS optimizing security and energy efficiency.
J. Netw. Comput. Appl.
Saeid Jamshidi, Ashkan Amirnia, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh, Samira Keivanpour
2025 J jnl
The Moral Consistency Pipeline: Continuous Ethical Evaluation for Large Language Models.
CoRR
Saeid Jamshidi, Kawser Wazed Nafi, Arghavan Moradi Dakhel, Negar Shahabi, Foutse Khomh
2025 J jnl
The role of Large Language Models in IoT security: A systematic review of advances, challenges, and opportunities.
Internet Things
Saeid Jamshidi, Negar Shahabi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh, Carol Fung
2025 J jnl
Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway.
CoRR
Saeid Jamshidi, Amin Nikanjam, Negar Shahabi, Kawser Wazed Nafi, Foutse Khomh, Samira Keivanpour, Rolando Herrero
2025 J jnl
Towards Assessing Deep Learning Test Input Generators.
CoRR
Seif Mzoughi, Ahmed Haj Yahmed, Mohamed Elshafei, Foutse Khomh, Diego Elias Costa
2025 J jnl
Towards enhancing the reproducibility of deep learning bugs: an empirical study.
Empir. Softw. Eng.
Mehil B. Shah, Mohammad Masudur Rahman, Foutse Khomh
2025 J jnl
Towards understanding the impact of data bugs on deep learning models in software engineering.
Empir. Softw. Eng.
Mehil B. Shah, Mohammad Masudur Rahman, Foutse Khomh
2025 J jnl
Trained without My Consent: Detecting Code Inclusion in Language Models Trained on Code.
ACM Trans. Softw. Eng. Methodol.
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2025 J jnl
Understanding the impact of IoT security patterns on CPU usage and energy consumption: a dynamic approach for selecting patterns with deep reinforcement learning.
Int. J. Inf. Sec.
Saeid Jamshidi, Amin Nikanjam, Kawser Wazed Nafi, Foutse Khomh
2025 J jnl
Unveiling Inefficiencies in LLM-Generated Code: Toward a Comprehensive Taxonomy.
CoRR
Altaf Allah Abbassi, Léuson M. P. da Silva, Amin Nikanjam, Foutse Khomh
2025 J jnl
What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach.
Autom. Softw. Eng.
Xingfang Wu, Heng Li, Foutse Khomh
2024 J jnl
A Context-Driven Approach for Co-Auditing Smart Contracts with The Support of GPT-4 code interpreter.
CoRR
Mohamed Salah Bouafif, Chen Zheng, Ilham Ahmed Qasse, Ed Zulkoski, Mohammad Hamdaqa, Foutse Khomh
2024 J jnl
AITA: AI trustworthiness assessment.
AI Ethics
Bertrand Braunschweig, Stefan Buijsman, Faïcel Chamroukhi, Fredrik Heintz, Foutse Khomh, Juliette Mattioli, Maximilian Poretschkin
2024 — conf
AmbieGen at the SBFT 2024 Tool Competition - CPS-UAV Track.
SBFT@ICSE
Dmytro Humeniuk, Foutse Khomh
2024 — conf
AmbieGenVAE at the SBFT 2024 Tool Competition - Cyber-Physical Systems Track.
SBFT@ICSE
Dmytro Humeniuk, Foutse Khomh
2024 J jnl
An Efficient Model Maintenance Approach for MLOps.
CoRR
Forough Majidi, Foutse Khomh, Heng Li, Amin Nikanjam
2024 J jnl
An Empirical Study of Sensitive Information in Logs.
CoRR
Roozbeh Aghili, Heng Li, Foutse Khomh
2024 J jnl
Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models.
CoRR
Florian Tambon, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
2024 A conf
Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study.
SANER
Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradi Dakhel, Amjed Tahir, Foutse Khomh
2024 J jnl
Bug characterization in machine learning-based systems.
Empir. Softw. Eng.
Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming (Jack) Jiang
2024 J jnl
Bugs in Large Language Models Generated Code: An Empirical Study.
CoRR
Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol
2024 — conf
Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs.
AIware
Sylvain Kouemo Ngassom, Arghavan Moradi Dakhel, Florian Tambon, Foutse Khomh
2024 J jnl
Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs.
CoRR
Sylvain Kouemo Ngassom, Arghavan Moradi Dakhel, Florian Tambon, Foutse Khomh
2024 J jnl
Characterizing and classifying developer forum posts with their intentions.
Empir. Softw. Eng.
Xingfang Wu, Eric Laufer, Heng Li, Foutse Khomh, Santhosh Srinivasan, Jayden Luo
2024 J jnl
ChatGPT vs LLaMA: Impact, Reliability, and Challenges in Stack Overflow Discussions.
CoRR
Léuson M. P. da Silva, Jordan Samhi, Foutse Khomh
2024 J jnl
Common challenges of deep reinforcement learning applications development: an empirical study.
Empir. Softw. Eng.
Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh
2024 J jnl
Continuously Learning Bug Locations.
CoRR
Paulina Stevia Nouwou Mindom, Léuson M. P. da Silva, Amin Nikanjam, Foutse Khomh
2024 J jnl
Data cleaning and machine learning: a systematic literature review.
Autom. Softw. Eng.
Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh
2024 J jnl
Data-access performance anti-patterns in data-intensive systems.
Empir. Softw. Eng.
Biruk Asmare Muse, Kawser Wazed Nafi, Foutse Khomh, Giuliano Antoniol
2024 A conf
Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends.
SANER
Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh
2024 J jnl
Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends.
CoRR
Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh
2024 J jnl
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn.
CoRR
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2024 J jnl
Design smells in multi-language systems and bug-proneness: a survival analysis.
Empir. Softw. Eng.
Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh
2024 J jnl
Detection and evaluation of bias-inducing features in machine learning.
Empir. Softw. Eng.
Moses Openja, Gabriel Laberge, Foutse Khomh
2024 J jnl
Editorial: Special Issue on Software Engineering and AI for Data Quality.
ACM J. Data Inf. Qual.
Foutse Khomh, Andreas Metzger, Phu Hong Nguyen, Sagar Sen
2024 J jnl
Effective test generation using pre-trained Large Language Models and mutation testing.
Inf. Softw. Technol.
Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais
2024 — conf
Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning.
ANT/EDI40
Saeid Jamshidi, Ashkan Amirnia, Amin Nikanjam, Foutse Khomh
2024 J jnl
Fault Localization in Deep Learning-based Software: A System-level Approach.
CoRR
Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh
2024 J jnl
Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto.
J. Syst. Softw.
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
2024 J jnl
Impact of LLM-based Review Comment Generation in Practice: A Mixed Open-/Closed-source User Study.
CoRR
Doriane Olewicki, Léuson M. P. da Silva, Suhaib Mujahid, Arezou Amini, Benjamin Mah, Marco Castelluccio, Sarra Habchi, Foutse Khomh, Bram Adams
2024 A* conf
In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators.
ASE
Dmytro Humeniuk, Houssem Ben Braiek, Thomas Reid, Foutse Khomh
2024 J jnl
In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators.
CoRR
Dmytro Humeniuk, Houssem Ben Braiek, Thomas Reid, Foutse Khomh
2024 J jnl
Introducing v0.5 of the AI Safety Benchmark from MLCommons.
CoRR
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt 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 N. 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
2024 J jnl
Leveraging Data Characteristics for Bug Localization in Deep Learning Programs.
CoRR
Ruchira Manke, Mohammad Wardat, Foutse Khomh, Hridesh Rajan
2024 A conf
List Comprehension Versus for Loops Performance in Real Python Projects: Should we Care?
SANER
Cyrine Zid, François Belias, Massimiliano Di Penta, Foutse Khomh, Giuliano Antoniol
2024 J jnl
Machine Learning Robustness: A Primer.
CoRR
Houssem Ben Braiek, Foutse Khomh
2024 J jnl
Mining Action Rules for Defect Reduction Planning.
CoRR
Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
2024 J jnl
Mining Action Rules for Defect Reduction Planning.
Proc. ACM Softw. Eng.
Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe, Foutse Khomh
2024 — conf
PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4.
FORGE
Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh
2024 J jnl
PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4.
CoRR
Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh
2024 J jnl
Quality issues in machine learning software systems.
Empir. Softw. Eng.
Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh
2024 A conf
Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection.
SANER
Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse Khomh
2024 J jnl
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing.
ACM Trans. Softw. Eng. Methodol.
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
2024 B ed.
Search-Based Software Engineering - 16th International Symposium, SSBSE 2024, Porto de Galinhas, Brazil, July 15, 2024, Proceedings
SSBSE
Gunel Jahangirova, Foutse Khomh
2024 J jnl
Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow.
Empir. Softw. Eng.
Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol
2024 J jnl
Studying logging practice in machine learning-based applications.
Inf. Softw. Technol.
Patrick Loic Foalem, Foutse Khomh, Heng Li
2024 A conf
Tackling the XAI Disagreement Problem with Regional Explanations.
AISTATS
Gabriel Laberge, Yann Batiste Pequignot, Mario Marchand, Foutse Khomh
2024 A conf
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer.
ICSME
Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh
2024 J jnl
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer.
CoRR
Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh
2024 J jnl
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study.
CoRR
Mehil B. Shah, Mohammad Masudur Rahman, Foutse Khomh
2024 J jnl
Towards Optimizing SQL Generation via LLM Routing.
CoRR
Mohammadhossein Malekpour, Nour Shaheen, Foutse Khomh, Amine Mhedhbi
2024 J jnl
Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering.
CoRR
Mehil B. Shah, Mohammad Masudur Rahman, Foutse Khomh
2024 — conf
Towards a Reliable French Speech Recognition Tool for an Automated Diagnosis of Learning Disabilities.
SmartNets
Jihene Rezgui, Félix Jobin, Younes Kechout, Chritine Turgeon, Foutse Khomh
2024 J jnl
Tracing Optimization for Performance Modeling and Regression Detection.
CoRR
Kaveh Shahedi, Heng Li, Maxime Lamothe, Foutse Khomh
2024 J jnl
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code.
CoRR
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh
2024 — conf
Triage Software Update Impact via Release Notes Classification.
ANT/EDI40
Solomon Berhe, Vanessa Kan, Omhier Khan, Nathan Pader, Ali Zain Farooqui, Marc Maynard, Foutse Khomh
2024 J jnl
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems.
CoRR
Altaf Allah Abbassi, Houssem Ben Braiek, Foutse Khomh, Thomas Reid
2024 A conf
Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization.
ICSME
Roozbeh Aghili, Qiaolin Qin, Heng Li, Foutse Khomh
2024 J jnl
Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization.
CoRR
Roozbeh Aghili, Qiaolin Qin, Heng Li, Foutse Khomh
2024 J jnl
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach.
CoRR
Xingfang Wu, Heng Li, Foutse Khomh
2023 J jnl
A Large-Scale Exploratory Study of Android Sports Apps in the Google Play Store.
CoRR
Bhagya Chembakottu, Heng Li, Foutse Khomh
2023 C conf
A Machine Learning Based Approach to Detect Machine Learning Design Patterns.
APSEC
Weitao Pan, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa, Foutse Khomh, Yann-Gaël Guéhéneuc
2023 J jnl
A comparison of reinforcement learning frameworks for software testing tasks.
Empir. Softw. Eng.
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
2023 J jnl
A large-scale exploratory study of android sports apps in the google play store.
Inf. Softw. Technol.
Bhagya Chembakottu, Heng Li, Foutse Khomh
2023 J jnl
A probabilistic framework for mutation testing in deep neural networks.
Inf. Softw. Technol.
Florian Tambon, Foutse Khomh, Giuliano Antoniol
2023 J jnl
AmbieGen: A Search-based Framework for Autonomous Systems Testing.
CoRR
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
2023 J jnl
AmbieGen: A search-based framework for autonomous systems testing.
Sci. Comput. Program.
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
2023 J jnl
An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software.
CoRR
Aaditya Bhatia, Foutse Khomh, Bram Adams, Ahmed E. Hassan
2023 A conf
An Empirical Study on Bugs Inside PyTorch: A Replication Study.
ICSME
Sharon Chee Yin Ho, Vahid Majdinasab, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, Muhammad Raza
2023 J jnl
An Empirical Study on Bugs Inside PyTorch: A Replication Study.
CoRR
Vahid Majdinasab, Sharon Chee Yin Ho, Mohayeminul Islam, Diego Elias Costa, Emad Shihab, Foutse Khomh, Sarah Nadi, Muhammad Raza
2023 J jnl
An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems.
CoRR
Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh
2023 A* conf
An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems.
ASE
Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh
2023 J jnl
Assessing the Security of GitHub Copilot Generated Code - A Targeted Replication Study.
CoRR
Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradi Dakhel, Amjed Tahir, Foutse Khomh
2023 J jnl
Bug Characterization in Machine Learning-based Systems.
CoRR
Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming Jiang
2023 J jnl
Bugs in machine learning-based systems: a faultload benchmark.
Empir. Softw. Eng.
Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming (Jack) Jiang
2023 J jnl
Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness?
Computer
Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh
2023 J jnl
Characterizing and Classifying Developer Forum Posts with their Intentions.
CoRR
Xingfang Wu, Eric Laufer, Heng Li, Foutse Khomh, Santhosh Srinivasan, Jayden Luo
2023 — conf
Chat2Code: A Chatbot for Model Specification and Code Generation, The Case of Smart Contracts.
SSE
Ilham A. Qasse, Shailesh Mishra, Björn Þór Jónsson, Foutse Khomh, Mohammad Hamdaqa
2023 J jnl
Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study.
CoRR
Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh
2023 J jnl
Data Cleaning and Machine Learning: A Systematic Literature Review.
CoRR
Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh
2023 A conf
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges.
ICSME
Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh
2023 J jnl
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges.
CoRR
Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh
2023 J jnl
Detection and Evaluation of bias-inducing Features in Machine learning.
CoRR
Moses Openja, Gabriel Laberge, Foutse Khomh
2023 J jnl
Dev2vec: Representing domain expertise of developers in an embedding space.
Inf. Softw. Technol.
Arghavan Moradi Dakhel, Michel C. Desmarais, Foutse Khomh
2023 J jnl
Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing.
CoRR
Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais
2023 J jnl
Exploring Security Practices in Infrastructure as Code: An Empirical Study.
CoRR
Alexandre Verdet, Mohammad Hamdaqa, Léuson M. P. da Silva, Foutse Khomh
2023 A* conf
Fooling SHAP with Stealthily Biased Sampling.
ICLR
Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
2023 J jnl
GIST: Generated Inputs Sets Transferability in Deep Learning.
CoRR
Florian Tambon, Foutse Khomh, Giuliano Antoniol
2023 J jnl
GitHub Copilot AI pair programmer: Asset or Liability?
J. Syst. Softw.
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming (Jack) Jiang
2023 J jnl
Harnessing Pre-trained Generalist Agents for Software Engineering Tasks.
CoRR
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
2023 — conf
Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development (Invited Talk).
PROMISE
Foutse Khomh
2023 J jnl
Impact in Software Engineering Activities After One Year of COVID-19 Restrictions for Startups and Established Companies.
IEEE Access
Hosna Hooshyar, Eduardo 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
2023 — ch.
Intelligent Software Maintenance.
Optimising the Software Development Process with Artificial Intelligence
Foutse Khomh, Mohammad Masudur Rahman, Antoine Barbez
2023 J jnl
Leveraging Data Mining Algorithms to Recommend Source Code Changes.
CoRR
AmirHossein Naghshzan, Saeed Khalilazar, Pierre Poilane, Olga Baysal, Latifa Guerrouj, Foutse Khomh
2023 J jnl
Machine learning application development: practitioners' insights.
Softw. Qual. J.
Md. Saidur Rahman, Foutse Khomh, Alaleh Hamidi, Jinghui Cheng, Giuliano Antoniol, Hironori Washizaki
2023 — conf
Maintenance Cost of Software Ecosystem Updates.
ANT/EDI40
Solomon Berhe, Marc Maynard, Foutse Khomh
2023 A conf
Mutation Testing of Deep Reinforcement Learning Based on Real Faults.
ICST
Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
2023 J jnl
Mutation Testing of Deep Reinforcement Learning Based on Real Faults.
CoRR
Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
2023 A conf
On Codex Prompt Engineering for OCL Generation: An Empirical Study.
MSR
Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh
2023 J jnl
On Codex Prompt Engineering for OCL Generation: An Empirical Study.
CoRR
Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh
2023 J jnl
On the Effectiveness of Log Representation for Log-based Anomaly Detection.
CoRR
Xingfang Wu, Heng Li, Foutse Khomh
2023 J jnl
On the effectiveness of log representation for log-based anomaly detection.
Empir. Softw. Eng.
Xingfang Wu, Heng Li, Foutse Khomh
2023 J jnl
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set.
J. Mach. Learn. Res.
Gabriel Laberge, Yann Pequignot, Alexandre Mathieu, Foutse Khomh, Mario Marchand
2023 J jnl
Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation.
IEEE Trans. Reliab.
Houssem Ben Braiek, Thomas Reid, Foutse Khomh
2023 — ed.
Proceedings of the 3rd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, SEA4DQ 2023, San Francisco, CA, USA, 4 December 2023
SEA4DQ@SIGSOFT FSE
Foutse Khomh, Preetha Chatterjee, Andreas Metzger
2023 J jnl
Quality Issues in Machine Learning Software Systems.
CoRR
Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh
2023 — conf
RIGAA at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track.
SBFT
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
2023 J jnl
Ranking code clones to support maintenance activities.
Empir. Softw. Eng.
Osama Ehsan, Foutse Khomh, Ying Zou, Dong Qiu
2023 J jnl
Refactoring practices in the context of data-intensive systems.
Empir. Softw. Eng.
Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol
2023 J jnl
Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection.
CoRR
Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse Khomh
2023 J jnl
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing.
CoRR
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
2023 J jnl
Responsible Design Patterns for Machine Learning Pipelines.
CoRR
Saud Hakem Al Harbi, Lionel Nganyewou Tidjon, Foutse Khomh
2023 J jnl
Robustness assessment of hyperspectral image CNNs using metamorphic testing.
Inf. Softw. Technol.
Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
2023 J jnl
Studying Logging Practice in Machine Learning-based Applications.
CoRR
Patrick Loic Foalem, Foutse Khomh, Heng Li
2023 J jnl
Studying the Practices of Testing Machine Learning Software in the Wild.
CoRR
Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming Jiang, Mouna Abidi, Ahmed E. Hassan
2023 J jnl
Studying the challenges of developing hardware description language programs.
Inf. Softw. Technol.
Fatemeh Yousefifeshki, Heng Li, Foutse Khomh
2023 J jnl
Studying the characteristics of AIOps projects on GitHub.
Empir. Softw. Eng.
Roozbeh Aghili, Heng Li, Foutse Khomh
2023 J jnl
Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023).
ACM SIGSOFT Softw. Eng. Notes
Matteo Biagiola, Nicolás Cardozo, Donghwan Shin, Foutse Khomh, Andrea Stocco, Vincenzo Riccio
2023 J jnl
Testing Feedforward Neural Networks Training Programs.
ACM Trans. Softw. Eng. Methodol.
Houssem Ben Braiek, Foutse Khomh
2023 J jnl
The Different Faces of AI Ethics Across the World: A Principle-to-Practice Gap Analysis.
IEEE Trans. Artif. Intell.
Lionel Nganyewou Tidjon, Foutse Khomh
2023 A conf
UnityLint: A Bad Smell Detector for Unity.
ICPC
Matteo Bosco, Pasquale Cavoto, Augusto Ungolo, Biruk Asmare Muse, Foutse Khomh, Vittoria Nardone, Massimiliano Di Penta
2023 J jnl
Video Game Bad Smells: What They Are and How Developers Perceive Them.
ACM Trans. Softw. Eng. Methodol.
Vittoria Nardone, Biruk Asmare Muse, Mouna Abidi, Foutse Khomh, Massimiliano Di Penta
2022 J jnl
A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks.
CoRR
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh
2022 J jnl
A Probabilistic Framework for Mutation Testing in Deep Neural Networks.
CoRR
Florian Tambon, Foutse Khomh, Giuliano Antoniol
2022 J jnl
A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems.
CoRR
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
2022 J jnl
A search-based framework for automatic generation of testing environments for cyber-physical systems.
Inf. Softw. Technol.
Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
2022 — conf
AmbieGen tool at the SBST 2022 Tool Competition.
SBST@ICSE
Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh
2022 J jnl
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples.
IEEE Trans. Software Eng.
Morteza Verdi, Ashkan Sami, Jafar Akhondali, Foutse Khomh, Gias Uddin, Alireza Karami Motlagh
2022 A conf
An Empirical Study of Challenges in Converting Deep Learning Models.
ICSME
Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming Jack Jiang
2022 J jnl
An Empirical Study of Challenges in Converting Deep Learning Models.
CoRR
Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming Jiang
2022 J jnl
An Empirical Study of Library Usage and Dependency in Deep Learning Frameworks.
CoRR
Mohamed Raed El aoun, Lionel Nganyewou Tidjon, Benjamin Rombaut, Foutse Khomh, Ahmed E. Hassan
2022 J jnl
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets.
ACM Trans. Softw. Eng. Methodol.
Gias Uddin, Yann-Gaël Guéhéneuc, Foutse Khomh, Chanchal K. Roy
2022 A conf
An Empirical Study on the Usage of Automated Machine Learning Tools.
ICSME
Forough Majidi, Moses Openja, Foutse Khomh, Heng Li
2022 J jnl
An Empirical Study on the Usage of Automated Machine Learning Tools.
CoRR
Forough Majidi, Moses Openja, Foutse Khomh, Heng Li
2022 J jnl
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations.
ACM Trans. Softw. Eng. Methodol.
Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh
2022 J jnl
Bug Characteristics in Quantum Software Ecosystem.
CoRR
Mohamed Raed El aoun, Heng Li, Foutse Khomh, Lionel N. Tidjon
2022 J jnl
Bugs in Machine Learning-based Systems: A Faultload Benchmark.
CoRR
Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming Jiang
2022 J jnl
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?
CoRR
Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh
2022 — conf
Challenges in machine learning application development: an industrial experience report.
SE4RAI@ICSE
Md. Saidur Rahman, Foutse Khomh, Emilio Rivera, Yann-Gaël Guéhéneuc, Bernd Lehnert
2022 J jnl
Clones in deep learning code: what, where, and why?
Empir. Softw. Eng.
Hadhemi Jebnoun, Md. Saidur Rahman, Foutse Khomh, Biruk Asmare Muse
2022 — conf
Data quality and model under-specification issues (keynote).
SEA4DQ@ESEC/SIGSOFT FSE
Foutse Khomh
2022 J jnl
Data-access performance anti-patterns in data-intensive systems.
CoRR
Biruk Asmare Muse, Kawser Wazed Nafi, Foutse Khomh, Giuliano Antoniol
2022 J jnl
Dev2vec: Representing Domain Expertise of Developers in an Embedding Space.
CoRR
Arghavan Moradi Dakhel, Michel C. Desmarais, Foutse Khomh
2022 J jnl
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment.
CoRR
Ahmed Haj Yahmed, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
2022 J jnl
DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment.
Empir. Softw. Eng.
Ahmed Haj Yahmed, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
2022 A conf
Do Developers Refactor Data Access Code? An Empirical Study.
SANER
Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol
2022 J jnl
Do Developers Refactor Data Access Code? An Empirical Study.
CoRR
Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol
2022 J jnl
FIXME: Synchronize with Database An Empirical Study of Data Access Self-Admitted Technical Debt.
CoRR
Biruk Asmare Muse, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol
2022 J jnl
FIXME: synchronize with database! An empirical study of data access self-admitted technical debt.
Empir. Softw. Eng.
Biruk Asmare Muse, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol
2022 J jnl
Faults in deep reinforcement learning programs: a taxonomy and a detection approach.
Autom. Softw. Eng.
Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek
2022 J jnl
Fooling SHAP with Stealthily Biased Sampling.
CoRR
Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
2022 J jnl
GitHub Copilot AI pair programmer: Asset or Liability?
CoRR
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming Jiang
2022 J jnl
How to certify machine learning based safety-critical systems? A systematic literature review.
Autom. Softw. Eng.
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
2022 B conf
Identification of out-of-distribution cases of CNN using class-based surprise adequacy.
CAIN
Mira Marhaba, Ettore Merlo, Foutse Khomh, Giuliano Antoniol
2022 J jnl
Multi-language design smells: a backstage perspective.
Empir. Softw. Eng.
Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh
2022 J jnl
Never trust, always verify : a roadmap for Trustworthy AI?
CoRR
Lionel Nganyewou Tidjon, Foutse Khomh
2022 J jnl
On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems.
CoRR
Biruk Asmare Muse, Mohammad Masudur Rahman, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol
2022 — conf
PaReco: patched clones and missed patches among the divergent variants of a software family.
ESEC/SIGSOFT FSE
Poedjadevie Kadjel Ramkisoen, John Businge, Brent van Bladel, Alexandre Decan, Serge Demeyer, Coen De Roover, Foutse Khomh
2022 J jnl
Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation.
CoRR
Houssem Ben Braiek, Thomas Reid, Foutse Khomh
2022 J jnl
Quality issues in Machine Learning Software Systems.
CoRR
Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Foutse Khomh
2022 J jnl
Reliable Malware Analysis and Detection using Topology Data Analysis.
CoRR
Lionel Nganyewou Tidjon, Foutse Khomh
2022 C conf
Revisiting the Impact of Anti-patterns on Fault-Proneness: A Differentiated Replication.
SCAM
Aurel Ikama, Vincent Du, Philippe Belias, Biruk Asmare Muse, Foutse Khomh, Mohammad Hamdaqa
2022 A* conf
SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design.
ASE
Houssem Ben Braiek, Ali Tfaily, Foutse Khomh, Thomas Reid, Ciro Guida
2022 J jnl
SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design.
CoRR
Houssem Ben Braiek, Ali Tfaily, Foutse Khomh, Thomas Reid, Ciro Guida
2022 J jnl
Software-Engineering Design Patterns for Machine Learning Applications.
Computer
Hironori Washizaki, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Takeuchi, Naotake Natori, Takuo Doi, Satoshi Okuda
2022 J jnl
Studying the Characteristics of AIOps Projects on GitHub.
CoRR
Roozbeh Aghili, Heng Li, Foutse Khomh
2022 A conf
Studying the Practices of Deploying Machine Learning Projects on Docker.
EASE
Moses Openja, Forough Majidi, Foutse Khomh, Bhagya Chembakottu, Heng Li
2022 J jnl
Studying the Practices of Deploying Machine Learning Projects on Docker.
CoRR
Moses Openja, Forough Majidi, Foutse Khomh, Bhagya Chembakottu, Heng Li
2022 J jnl
Technical Debts and Faults in Open-source Quantum Software Systems: An Empirical Study.
CoRR
Moses Openja, Mohammad Mehdi Morovati, Le An, Foutse Khomh, Mouna Abidi
2022 J jnl
Technical debts and faults in open-source quantum software systems: An empirical study.
J. Syst. Softw.
Moses Openja, Mohammad Mehdi Morovati, Le An, Foutse Khomh, Mouna Abidi
2022 J jnl
Testing Feedforward Neural Networks Training Programs.
CoRR
Houssem Ben Braiek, Foutse Khomh
2022 J jnl
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis.
CoRR
Lionel Nganyewou Tidjon, Foutse Khomh
2022 J jnl
Threat Assessment in Machine Learning based Systems.
CoRR
Lionel Nganyewou Tidjon, Foutse Khomh
2022 J jnl
Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues.
CoRR
Mohamed Raed El aoun, Heng Li, Foutse Khomh, Moses Openja
2022 A conf
Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions.
ICSME
Saumendu Roy, Gabriel Laberge, Banani Roy, Foutse Khomh, Amin Nikanjam, Saikat Mondal
2022 J jnl
Works for Me! Cannot Reproduce - A Large Scale Empirical Study of Non-reproducible Bugs.
Empir. Softw. Eng.
Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio
2021 J jnl
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets.
CoRR
Gias Uddin, Yann-Gaël Guéhéneuc, Foutse Khomh, Chanchal K. Roy
2021 J jnl
An empirical study of IoT topics in IoT developer discussions on Stack Overflow.
Empir. Softw. Eng.
Gias Uddin, Fatima Sabir, Yann-Gaël Guéhéneuc, Omar Alam, Foutse Khomh
2021 J jnl
Are Multi-Language Design Smells Fault-Prone? An Empirical Study.
ACM Trans. Softw. Eng. Methodol.
Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh
2021 A conf
Assessing Developer Expertise from the Statistical Distribution of Programming Syntax Patterns.
EASE
Arghavan Moradi Dakhel, Michel C. Desmarais, Foutse Khomh
2021 J jnl
Automatic API Usage Scenario Documentation from Technical Q&A Sites.
CoRR
Gias Uddin, Foutse Khomh, Chanchal K. Roy
2021 J jnl
Automatic API Usage Scenario Documentation from Technical Q&A Sites.
ACM Trans. Softw. Eng. Methodol.
Gias Uddin, Foutse Khomh, Chanchal K. Roy
2021 J jnl
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations.
CoRR
Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh
2021 J jnl
Automatic Mining of Opinions Expressed About APIs in Stack Overflow.
IEEE Trans. Software Eng.
Gias Uddin, Foutse Khomh
2021 J jnl
Clones in Deep Learning Code: What, Where, and Why?
CoRR
Hadhemi Jebnoun, Md. Saidur Rahman, Foutse Khomh, Biruk Asmare Muse
2021 — conf
Data Driven Testing of Cyber Physical Systems.
SBST@ICSE
Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh
2021 J jnl
Data Driven Testing of Cyber Physical Systems.
CoRR
Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh
2021 A conf
Design Smells in Deep Learning Programs: An Empirical Study.
ICSME
Amin Nikanjam, Foutse Khomh
2021 J jnl
Design Smells in Deep Learning Programs: An Empirical Study.
CoRR
Amin Nikanjam, Foutse Khomh
2021 — conf
Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation.
SCSS
Mbarka Soualhia, Foutse Khomh, Sofiène Tahar
2021 J jnl
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach.
CoRR
Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek
2021 J jnl
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks.
CoRR
Florian Tambon, Giulio Antoniol, Foutse Khomh
2021 J jnl
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review.
CoRR
Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
2021 J jnl
Improved Retrieval of Programming Solutions With Code Examples Using a Multi-featured Score.
CoRR
Rodrigo F. Silva, Mohammad Masudur Rahman, Carlos Eduardo de Carvalho Dantas, Chanchal K. Roy, Foutse Khomh, Marcelo de Almeida Maia
2021 J jnl
Improved retrieval of programming solutions with code examples using a multi-featured score.
J. Syst. Softw.
Rodrigo F. Silva, Mohammad Masudur Rahman, Carlos Eduardo de Carvalho Dantas, Chanchal Kumar Roy, Foutse Khomh, Marcelo de Almeida Maia
2021 J jnl
Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness.
CoRR
Zeinab Azadeh Kermansaravi, Md. Saidur Rahman, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc
2021 J jnl
Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness.
Empir. Softw. Eng.
Zeinab Azadeh Kermansaravi, Md. Saidur Rahman, Foutse Khomh, Fehmi Jaafar, Yann-Gaël Guéhéneuc
2021 — ch.
Is Late Propagation a Harmful Code Clone Evolutionary Pattern? An Empirical Study.
Code Clone Analysis
Osama Ehsan, Liliane Barbour, Foutse Khomh, Ying Zou
2021 J jnl
Machine Learning Application Development: Practitioners' Insights.
CoRR
Md. Saidur Rahman, Foutse Khomh, Alaleh Hamidi, Jinghui Cheng, Giuliano Antoniol, Hironori Washizaki
2021 J jnl
Mining API Usage Scenarios from Stack Overflow.
CoRR
Gias Uddin, Foutse Khomh, Chanchal K. Roy
2021 J jnl
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases.
CoRR
Ettore Merlo, Mira Marhaba, Foutse Khomh, Houssem Ben Braiek, Giuliano Antoniol
2021 C conf
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods.
QRS
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins
2021 J jnl
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods.
CoRR
Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins
2021 J jnl
Partial order: Finding Consensus among Uncertain Feature Attributions.
CoRR
Gabriel Laberge, Yann Pequignot, Foutse Khomh, Mario Marchand, Alexandre Mathieu
2021 — ed.
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), Nara, Japan, December 4, 2018.
WESPr-iMLSE@APSEC
Nobukazu Yoshioka, Hironori Washizaki, Eduardo B. Fernández, Tomoko Kaneko, Shuichiro Yamamoto, Fuyuki Ishikawa, Foutse Khomh, Giuliano Antoniol
2021 J jnl
Reputation Gaming in Stack Overflow.
CoRR
Iren Mazloomzadeh, Gias Udin, Foutse Khomh, Ashkan Sami
2021 — conf
SWAT tool at the SBST 2021 Tool Competition.
SBST@ICSE
Dmytro Humeniuk, Giuliano Antoniol, Foutse Khomh
2021 J jnl
Shadow Program Committee Initiative: Process and Reflection.
ACM SIGSOFT Softw. Eng. Notes
Patanamon Thongtanunam, Ayushi Rastogi, Foutse Khomh, Serge Demeyer, Meiyappan Nagappan, Kelly Blincoe, Gregorio Robles
2021 J jnl
Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow.
CoRR
Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol
2021 A conf
Summarizing Relevant Parts from Technical Videos.
SANER
Mahmood Vahedi, Mohammad Masudur Rahman, Foutse Khomh, Gias Uddin, Giuliano Antoniol
2021 C conf
The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs.
QRS
Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam
2021 J jnl
The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study.
CoRR
Mohammad Masudur Rahman, Foutse Khomh, Shamima Yeasmin, Chanchal K. Roy
2021 J jnl
The challenge of reproducible ML: an empirical study on the impact of bugs.
CoRR
Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam
2021 J jnl
The forgotten role of search queries in IR-based bug localization: an empirical study.
Empir. Softw. Eng.
Mohammad Masudur Rahman, Foutse Khomh, Shamima Yeasmin, Chanchal K. Roy
2021 C conf
Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack Overflow.
SCAM
Alaleh Hamidi, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta, Mohammad Hamidi
2021 J jnl
Understanding How and Why Developers Seek and Analyze API-Related Opinions.
IEEE Trans. Software Eng.
Gias Uddin, Olga Baysal, Latifa Guerrouj, Foutse Khomh
2021 J jnl
Understanding How and Why Developers Seek and Analyze API-related Opinions.
CoRR
Gias Uddin, Olga Baysal, Latifa Guerrouj, Foutse Khomh
2021 A conf
Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues.
ICSME
Mohamed Raed El aoun, Heng Li, Foutse Khomh, Moses Openja
2021 J jnl
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.
Internet Things
Mohab Aly, Foutse Khomh, Soumaya Yacout
2021 J jnl
Why are Some Bugs Non-Reproducible? An Empirical Investigation using Data Fusion.
CoRR
Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio
2021 J jnl
Why do builds fail? - A conceptual replication study.
J. Syst. Softw.
Amine Barrak, Ellis E. Eghan, Bram Adams, Foutse Khomh
2020 A ed.
27th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2020, London, ON, Canada, February 18-21, 2020
SANER
Kostas Kontogiannis, Foutse Khomh, Alexander Chatzigeorgiou, Marios-Eleftherios Fokaefs, Minghui Zhou
2020 J jnl
A Dynamic and Failure-Aware Task Scheduling Framework for Hadoop.
IEEE Trans. Cloud Comput.
Mbarka Soualhia, Foutse Khomh, Sofiène Tahar
2020 J jnl
A Large Scale Empirical Study of the Impact of Spaghetti Code and Blob Anti-patterns on Program Comprehension.
CoRR
Cristiano Politowski, Foutse Khomh, Simone Romano, Giuseppe Scanniello, Fábio Petrillo, Yann-Gaël Guéhéneuc, Abdou Maiga
2020 J jnl
A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension.
Inf. Softw. Technol.
Cristiano Politowski, Foutse Khomh, Simone Romano, Giuseppe Scanniello, Fábio Petrillo, Yann-Gaël Guéhéneuc, Abdou Maiga
2020 J jnl
A machine-learning based ensemble method for anti-patterns detection.
J. Syst. Softw.
Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc
2020 A conf
Analysis of Modern Release Engineering Topics : - A Large-Scale Study using StackOverflow -.
ICSME
Moses Openja, Bram Adams, Foutse Khomh
2020 J jnl
Are Multi-language Design Smells Prevalent? An Empirical Study.
CoRR
Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh
2020 B conf
Commit - Defect and Architectural Metrics - based Quality Assessment of C Language.
ENASE
Devansh Tiwari, Hironori Washizaki, Yoshiaki Fukazawa, Tomoyuki Fukuoka, Junji Tamaki, Nobuhiro Hosotani, Munetaka Kohama, Yann-Gaël Guéhéneuc, Foutse Khomh
2020 A conf
Developer-Driven Code Smell Prioritization.
MSR
Fabiano Pecorelli, Fabio Palomba, Foutse Khomh, Andrea De Lucia
2020 — conf
Double Cycle Hybrid Testing of Hybrid Distributed IoT System.
ICSE (Workshops)
Cyrine Zid, Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol
2020 J jnl
Mining API usage scenarios from stack overflow.
Inf. Softw. Technol.
Gias Uddin, Foutse Khomh, Chanchal K. Roy
2020 A conf
Multi-language Design Smells: A Backstage Perspective.
MSR
Mouna Abidi, Moses Openja, Foutse Khomh
2020 J jnl
On testing machine learning programs.
J. Syst. Softw.
Houssem Ben Braiek, Foutse Khomh
2020 A conf
On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems.
MSR
Biruk Asmare Muse, Mohammad Masudur Rahman, Csaba Nagy, Anthony Cleve, Foutse Khomh, Giuliano Antoniol
2020 A conf
On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow.
ESEM
Ehsan Firouzi, Ashkan Sami, Foutse Khomh, Gias Uddin
2020 A conf
Practitioners' insights on machine-learning software engineering design patterns: a preliminary study.
ICSME
Hironori Washizaki, Hironori Takeuchi, Foutse Khomh, Naotake Natori, Takuo Doi, Satoshi Okuda
2020 — ed.
Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2020, Virtual Event, USA, November 13, 2020.
MaLTeSQuE@ESEC/SIGSOFT FSE
Foutse Khomh, Pasquale Salza, Gemma Catolino
2020 J jnl
RePOR: Mimicking humans on refactoring tasks. Are we there yet?
Empir. Softw. Eng.
Rodrigo Morales, Foutse Khomh, Giuliano Antoniol
2020 — conf
Software Release Patterns When is it a good time to update a software component?
ANT/EDI40
Solomon Berhe, Marc Maynard, Foutse Khomh
2020 J jnl
The Diversity Crisis of Software Engineering for Artificial Intelligence.
IEEE Softw.
Bram Adams, Foutse Khomh
2020 A conf
The Scent of Deep Learning Code: An Empirical Study.
MSR
Hadhemi Jebnoun, Houssem Ben Braiek, Mohammad Masudur Rahman, Foutse Khomh
2020 Misc conf
Towards the Definition of Patterns and Code Smells for Multi-language Systems.
EuroPLoP
Mouna Abidi, Foutse Khomh
2020 A conf
Why are Some Bugs Non-Reproducible? : -An Empirical Investigation using Data Fusion-.
ICSME
Mohammad Masudur Rahman, Foutse Khomh, Marco Castelluccio
2020 J jnl
Why reinventing the wheels? An empirical study on library reuse and re-implementation.
Empir. Softw. Eng.
Bowen Xu, Le An, Ferdian Thung, Foutse Khomh, David Lo
2019 J jnl
A Machine-learning Based Ensemble Method For Anti-patterns Detection.
CoRR
Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc
2019 J jnl
A large-scale empirical study of code smells in JavaScript projects.
Softw. Qual. J.
David Johannes, Foutse Khomh, Giuliano Antoniol
2019 J jnl
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples.
CoRR
Morteza Verdi, Ashkan Sami, Jafar Akhondali, Foutse Khomh, Gias Uddin, Alireza Karami Motlagh
2019 J jnl
An empirical study of DLL injection bugs in the Firefox ecosystem.
Empir. Softw. Eng.
Le An, Marco Castelluccio, Foutse Khomh
2019 J jnl
An empirical study of patch uplift in rapid release development pipelines.
Empir. Softw. Eng.
Marco Castelluccio, Le An, Foutse Khomh
2019 J jnl
An empirical study of sentiments in code reviews.
Inf. Softw. Technol.
Ikram El Asri, Noureddine Kerzazi, Gias Uddin, Foutse Khomh, Mohammed Abdou Janati Idrissi
2019 Misc conf
Anti-patterns for multi-language systems.
EuroPLoP
Mouna Abidi, Foutse Khomh, Yann-Gaël Guéhéneuc
2019 — conf
Behind the scenes: developers' perception of multi-language practices.
CASCON
Mouna Abidi, Manel Grichi, Foutse Khomh
2019 Misc conf
Code smells for multi-language systems.
EuroPLoP
Mouna Abidi, Manel Grichi, Foutse Khomh, Yann-Gaël Guéhéneuc
2019 A conf
Deep Learning Anti-Patterns from Code Metrics History.
ICSME
Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc
2019 J jnl
Deep Learning Anti-patterns from Code Metrics History.
CoRR
Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc
2019 A conf
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks.
ICSME
Houssem Ben Braiek, Foutse Khomh
2019 J jnl
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks.
CoRR
Houssem Ben Braiek, Foutse Khomh
2019 — ch.
Empirical Software Engineering.
Handbook of Software Engineering
Yann-Gaël Guéhéneuc, Foutse Khomh
2019 J jnl
Enforcing security in Internet of Things frameworks:
Internet Things
Mohab Aly, Foutse Khomh, Mohammed Haoues, Alejandro Quintero, Soumaya Yacout
2019 Misc conf
Infrastructure fault detection and prediction in edge cloud environments.
SEC
Mbarka Soualhia, Chunyan Fu, Foutse Khomh
2019 J jnl
Is Fragmentation a Threat to the Success of the Internet of Things?
IEEE Internet Things J.
Mohab Aly, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Washizaki, Soumaya Yacout
2019 J jnl
Machine Learning Software Engineering in Practice: An Industrial Case Study.
CoRR
Md. Saidur Rahman, Emilio Rivera, Foutse Khomh, Yann-Gaël Guéhéneuc, Bernd Lehnert
2019 A ed.
Proceedings of the 27th International Conference on Program Comprehension, ICPC 2019, Montreal, QC, Canada, May 25-31, 2019
ICPC
Yann-Gaël Guéhéneuc, Foutse Khomh, Federica Sarro
2019 — ed.
Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2019, Recife, Brazil, September 18, 2019.
PROMISE
Leandro L. Minku, Foutse Khomh, Jean Petric
2019 J jnl
SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks.
CoRR
Simon Msika, Alejandro Quintero, Foutse Khomh
2019 J jnl
Software Engineering for Machine Learning Systems (SEMLS) (NII Shonan Meeting 156).
NII Shonan Meet. Rep.
Foutse Khomh, Fuyuki Ishikawa, Hiroshi Maruyama
2019 — conf
State of practices of Java native interface.
CASCON
Manel Grichi, Mouna Abidi, Yann-Gaël Guéhéneuc, Foutse Khomh
2019 A conf
Studying Android App Popularity by Cross-Linking GitHub and Google Play Store.
SANER
John Businge, Moses Openja, David Kavaler, Engineer Bainomugisha, Foutse Khomh, Vladimir Filkov
2019 — conf
Studying Software Engineering Patterns for Designing Machine Learning Systems.
IWESEP
Hironori Washizaki, Hiromu Uchida, Foutse Khomh, Yann-Gaël Guéhéneuc
2019 J jnl
Studying Software Engineering Patterns for Designing Machine Learning Systems.
CoRR
Hironori Washizaki, Hiromu Uchida, Foutse Khomh, Yann-Gaël Guéhéneuc
2019 J jnl
Swarm Debugging: the Collective Intelligence on Interactive Debugging.
CoRR
Fábio Petrillo, Yann-Gaël Guéhéneuc, Marcelo Pimenta, Carla Maria Dal Sasso Freitas, Foutse Khomh
2019 J jnl
Swarm debugging: The collective intelligence on interactive debugging.
J. Syst. Softw.
Fábio Petrillo, Yann-Gaël Guéhéneuc, Marcelo Pimenta, Carla Maria Dal Sasso Freitas, Foutse Khomh
2019 C conf
TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs.
QRS
Houssem Ben Braiek, Foutse Khomh
2019 J jnl
TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs.
CoRR
Houssem Ben Braiek, Foutse Khomh
2019 — conf
Towards crowd-sourced API documentation.
ICSE (Companion Volume)
Gias Uddin, Foutse Khomh, Chanchal K. Roy
2018 J jnl
An app performance optimization advisor for mobile device app marketplaces.
Sustain. Comput. Informatics Syst.
Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba
2018 J jnl
An empirical study of crash-inducing commits in Mozilla Firefox.
Softw. Qual. J.
Le An, Foutse Khomh, Yann-Gaël Guéhéneuc
2018 J jnl
An investigation of the fault-proneness of clone evolutionary patterns.
Softw. Qual. J.
Liliane Barbour, Le An, Foutse Khomh, Ying Zou, Shaohua Wang
2018 J jnl
Automated Refactoring: Can They Pass The Turing Test?
CoRR
Rodrigo Morales, Foutse Khomh, Giuliano Antoniol
2018 A conf
Design patterns impact on software quality: Where are the theories?
SANER
Foutse Khomh, Yann-Gaël Guéhéneuc
2018 A conf
Developer interaction traces backed by IDE screen recordings from think aloud sessions.
MSR
Aiko Yamashita, Fábio Petrillo, Foutse Khomh, Yann-Gaël Guéhéneuc
2018 J jnl
EARMO: An Energy-Aware Refactoring Approach for Mobile Apps.
IEEE Trans. Software Eng.
Rodrigo Morales, Rubén Saborido, Foutse Khomh, Francisco Chicano, Giuliano Antoniol
2018 A* conf
EARMO: an energy-aware refactoring approach for mobile apps.
ICSE
Rodrigo Morales, Rubén Saborido, Foutse Khomh, Francisco Chicano, Giuliano Antoniol
2018 J jnl
Efficient refactoring scheduling based on partial order reduction.
J. Syst. Softw.
Rodrigo Morales, Francisco Chicano, Foutse Khomh, Giuliano Antoniol
2018 J jnl
Exact search-space size for the refactoring scheduling problem.
Autom. Softw. Eng.
Rodrigo Morales, Francisco Chicano, Foutse Khomh, Giuliano Antoniol
2018 J jnl
Getting the most from map data structures in Android.
Empir. Softw. Eng.
Rubén Saborido, Rodrigo Morales, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol
2018 J jnl
Is Fragmentation a Threat to the Success of the Internet of Things?
CoRR
Mohab Aly, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Washizaki, Soumaya Yacout
2018 — conf
Is it a bug or an enhancement?: a text-based approach to classify change requests.
CASCON
Giuliano Antoniol, Kamel Ayari, Massimiliano Di Penta, Foutse Khomh, Yann-Gaël Guéhéneuc
2018 — conf
Just-in-time detection of protection-impacting changes on WordPress and MediaWiki.
CASCON
Amine Barrak, Marc-André Laverdière, Foutse Khomh, Le An, Ettore Merlo
2018 A conf
Keep it simple: Is deep learning good for linguistic smell detection?
SANER
Sarah Fakhoury, Venera Arnaoudova, Cedric Noiseux, Foutse Khomh, Giuliano Antoniol
2018 — conf
Kubernetes or OpenShift? Which Technology Best Suits Eclipse Hono IoT Deployments.
SOCA
Mohab Aly, Foutse Khomh, Soumaya Yacout
2018 J jnl
Noise in Mylyn interaction traces and its impact on developers and recommendation systems.
Empir. Softw. Eng.
Zéphyrin Soh, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol
2018 J jnl
On Testing Machine Learning Programs.
CoRR
Houssem Ben Braiek, Foutse Khomh
2018 J jnl
ProMeTA: a taxonomy for program metamodels in program reverse engineering.
Empir. Softw. Eng.
Hironori Washizaki, Yann-Gaël Guéhéneuc, Foutse Khomh
2018 A ed.
Proceedings of the 26th Conference on Program Comprehension, ICPC 2018, Gothenburg, Sweden, May 27-28, 2018
ICPC
Foutse Khomh, Chanchal K. Roy, Janet Siegmund
2018 J jnl
Release Engineering 3.0.
IEEE Softw.
Bram Adams, Stephany Bellomo, Christian Bird, Boris Debic, Foutse Khomh, Kim Moir, John ODuinn
2018 — conf
Report of iMLSE-18: the 1
WESPr-iMLSE@APSEC
Fuyuki Ishikawa, Foutse Khomh, Nobukazu Yoshioka, Giuliano Antoniol
2018 J jnl
Software Engineering for Machine-Learning Applications: The Road Ahead.
IEEE Softw.
Foutse Khomh, Bram Adams, Jinghui Cheng, Marios Fokaefs, Giuliano Antoniol
2018 C conf
The State of Practice on Virtual Reality (VR) Applications: An Exploratory Study on Github and Stack Overflow.
QRS
Naoures Ghrairi, Segla Kpodjedo, Amine Barrak, Fábio Petrillo, Foutse Khomh
2018 A conf
The open-closed principle of modern machine learning frameworks.
MSR
Houssem Ben Braiek, Foutse Khomh, Bram Adams
2018 J jnl
Understanding the impact of cloud patterns on performance and energy consumption.
J. Syst. Softw.
Foutse Khomh, S. Amirhossein Abtahizadeh
2018 C conf
Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox.
APSEC
Le An, Foutse Khomh, Shane McIntosh, Marco Castelluccio
2017 J jnl
An App Performance Optimization Advisor for Mobile Device App Marketplaces.
CoRR
Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba
2017 A conf
An empirical study of code smells in JavaScript projects.
SANER
Amir Saboury, Pooya Musavi, Foutse Khomh, Giulio Antoniol
2017 A* conf
Automatic summarization of API reviews.
ASE
Gias Uddin, Foutse Khomh
2017 A conf
Broadcast vs. Unicast Review Technology: Does It Matter?
ICST
Foundjem Armstrong, Foutse Khomh, Bram Adams
2017 — conf
Code Authorship and Fault-proneness of Open-Source Android Applications: An Empirical Study.
PROMISE
John Businge, Simon Kawuma, Engineer Bainomugisha, Foutse Khomh, Evarist Nabaasa
2017 J jnl
Comprehension of Ads-supported and Paid Android Applications: Are They Different?
CoRR
Rubén Saborido, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol
2017 A conf
Comprehension of ads-supported and paid Android applications: are they different?
ICPC
Rubén Saborido, Foutse Khomh, Giuliano Antoniol, Yann-Gaël Guéhéneuc
2017 J jnl
Guest editor's introduction to the Special Issue on Source Code Analysis and Manipulation (SCAM 2015).
J. Softw. Evol. Process.
Foutse Khomh, David Lo, Michael W. Godfrey
2017 C conf
How Do Developers Toggle Breakpoints? Observational Studies.
QRS
Fábio Petrillo, Hyan Mandian, Aiko Yamashita, Foutse Khomh, Yann-Gaël Guéhéneuc
2017 J jnl
Investigating the relation between lexical smells and change- and fault-proneness: an empirical study.
Softw. Qual. J.
Latifa Guerrouj, Zeinab Azadeh Kermansaravi, Venera Arnaoudova, Benjamin C. M. Fung, Foutse Khomh, Giuliano Antoniol, Yann-Gaël Guéhéneuc
2017 J jnl
Is It Safe to Uplift This Patch? An Empirical Study on Mozilla Firefox.
CoRR
Marco Castelluccio, Le An, Foutse Khomh
2017 A conf
Is it Safe to Uplift this Patch?: An Empirical Study on Mozilla Firefox.
ICSME
Marco Castelluccio, Le An, Foutse Khomh
2017 J jnl
On the use of developers' context for automatic refactoring of software anti-patterns.
J. Syst. Softw.
Rodrigo Morales, Zéphyrin Soh, Foutse Khomh, Giuliano Antoniol, Francisco Chicano
2017 A* conf
Opiner: an opinion search and summarization engine for APIs.
ASE
Gias Uddin, Foutse Khomh
2017 A conf
Recommending when Design Technical Debt Should be Self-Admitted.
ICSME
Fiorella Zampetti, Cedric Noiseux, Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta
2017 A conf
Software evolution and quality data from controlled, multiple, industrial case studies.
MSR
Aiko Yamashita, S. Amirhossein Abtahizadeh, Foutse Khomh, Yann-Gaël Guéhéneuc
2017 J jnl
Stack Overflow: A Code Laundering Platform?
CoRR
Le An, Ons Mlouki, Foutse Khomh, Giuliano Antoniol
2017 A conf
Stack Overflow: A code laundering platform?
SANER
Le An, Ons Mlouki, Foutse Khomh, Giuliano Antoniol
2017 J jnl
Task Scheduling in Big Data Platforms: A Systematic Literature Review.
J. Syst. Softw.
Mbarka Soualhia, Foutse Khomh, Sofiène Tahar
2016 A conf
A Study of the Energy Consumption of Databases and Cloud Patterns.
ICSOC
Béchir Bani, Foutse Khomh, Yann-Gaël Guéhéneuc
2016 A conf
A Taxonomy for Program Metamodels in Program Reverse Engineering.
ICSME
Hironori Washizaki, Yann-Gaël Guéhéneuc, Foutse Khomh
2016 J jnl
An exploratory study of api changes and usages based on apache and eclipse ecosystems.
Empir. Softw. Eng.
Wei Wu, Foutse Khomh, Bram Adams, Yann-Gaël Guéhéneuc, Giuliano Antoniol
2016 J jnl
Anti-patterns and the energy efficiency of Android applications.
CoRR
Rodrigo Morales, Rubén Saborido, Foutse Khomh, Francisco Chicano, Giuliano Antoniol
2016 A conf
Do Code Smells Impact the Effort of Different Maintenance Programming Activities?
SANER
Zéphyrin Soh, Aiko Yamashita, Foutse Khomh, Yann-Gaël Guéhéneuc
2016 J jnl
Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults.
Empir. Softw. Eng.
Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Foutse Khomh, Mohammad Zulkernine
2016 A conf
Experience Report: An Empirical Study of API Failures in OpenStack Cloud Environments.
ISSRE
Pooya Musavi, Bram Adams, Foutse Khomh
2016 A conf
Finding the Best Compromise Between Design Quality and Testing Effort During Refactoring.
SANER
Rodrigo Morales, Aminata Sabané, Pooya Musavi, Foutse Khomh, Francisco Chicano, Giuliano Antoniol
2016 J jnl
Improving bug management using correlations in crash reports.
Empir. Softw. Eng.
Shaohua Wang, Foutse Khomh, Ying Zou
2016 A conf
On the Detection of Licenses Violations in the Android Ecosystem.
SANER
Ons Mlouki, Foutse Khomh, Giuliano Antoniol
2016 A conf
Optimizing User Experience in Choosing Android Applications.
SANER
Rubén Saborido, Giovanni Beltrame, Foutse Khomh, Enrique Alba, Giuliano Antoniol
2016 — conf
Software analytics: challenges and opportunities.
ICSE (Companion Volume)
Latifa Guerrouj, Olga Baysal, David Lo, Foutse Khomh
2016 A conf
Studying the Relation between Anti-Patterns in Design Models and in Source Code.
SANER
Bilal Karasneh, Michel R. V. Chaudron, Foutse Khomh, Yann-Gaël Guéhéneuc
2016 C conf
Towards Understanding Interactive Debugging.
QRS
Fábio Petrillo, Zéphyrin Soh, Foutse Khomh, Marcelo Pimenta, Carla M. D. S. Freitas, Yann-Gaël Guéhéneuc
2016 A conf
Understanding interactive debugging with Swarm Debug Infrastructure.
ICPC
Fábio Petrillo, Zéphyrin Soh, Foutse Khomh, Marcelo Soares Pimenta, Carla Maria Dal Sasso Freitas, Yann-Gaël Guéhéneuc
2015 C ed.
15th IEEE International Working Conference on Source Code Analysis and Manipulation, SCAM 2015, Bremen, Germany, September 27-28, 2015
SCAM
Michael W. Godfrey, David Lo, Foutse Khomh
2015 — ed.
3rd IEEE/ACM International Workshop on Release Engineering, RELENG 2015, Florence, Italy, May 19, 2015
RELENG@ICSE
Bram Adams, Stephany Bellomo, Christian Bird, Foutse Khomh, Kim Moir
2015 — conf
3rd International Workshop on Release Engineering (RELENG 2015).
ICSE (2)
Bram Adams, Stephany Bellomo, Christian Bird, Foutse Khomh, Kim Moir
2015 C conf
ATLAS: An AdapTive faiLure-Aware Scheduler for Hadoop.
IPCCC
Mbarka Soualhia, Foutse Khomh, Sofiène Tahar
2015 J jnl
ATLAS: An Adaptive Failure-aware Scheduler for Hadoop.
CoRR
Mbarka Soualhia, Foutse Khomh, Sofiène Tahar
2015 — conf
An Empirical Study of Crash-inducing Commits in Mozilla Firefox.
PROMISE
Le An, Foutse Khomh
2015 C conf
An Empirical Study of Highly Impactful Bugs in Mozilla Projects.
QRS
Le An, Foutse Khomh
2015 J jnl
An approach to extract RESTful services from web applications.
Int. J. Bus. Process. Integr. Manag.
Bipin Upadhyaya, Ying Zou, Foutse Khomh
2015 — conf
Challenges and Issues of Mining Crash Reports.
SWAN@SANER
Le An, Foutse Khomh
2015 A conf
Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects.
SANER
Rodrigo Morales, Shane McIntosh, Foutse Khomh
2015 C conf
How green are cloud patterns?
IPCCC
S. Amirhossein Abtahizadeh, Foutse Khomh, Yann-Gaël Guéhéneuc
2015 A conf
Noises in Interaction Traces Data and Their Impact on Previous Research Studies.
ESEM
Zéphyrin Soh, Thomas Drioul, Pierre-Antoine Rappe, Foutse Khomh, Yann-Gaël Guéhéneuc, Naji Habra
2015 J jnl
On rapid releases and software testing: a case study and a semi-systematic literature review.
Empir. Softw. Eng.
Mika V. Mäntylä, Bram Adams, Foutse Khomh, Emelie Engström, Kai Petersen
2015 J jnl
On the impact of sampling frequency on software energy measurements.
PeerJ Prepr.
Rubén Saborido, Venera Arnaoudova, Giovanni Beltrame, Foutse Khomh, Giuliano Antoniol
2015 J jnl
Predicting Scheduling Failures in the Cloud.
CoRR
Mbarka Soualhia, Foutse Khomh, Sofiène Tahar
2015 — conf
Predicting Scheduling Failures in the Cloud: A Case Study with Google Clusters and Hadoop on Amazon EMR.
HPCC/CSS/ICESS
Mbarka Soualhia, Foutse Khomh, Sofiène Tahar
2015 J jnl
The Practice and Future of Release Engineering: A Roundtable with Three Release Engineers.
IEEE Softw.
Bram Adams, Stephany Bellomo, Christian Bird, Tamara Marshall-Keim, Foutse Khomh, Kim Moir
2015 J jnl
Understanding the impact of rapid releases on software quality - The case of firefox.
Empir. Softw. Eng.
Foutse Khomh, Bram Adams, Tejinder Dhaliwal, Ying Zou
2014 A conf
A qualitative analysis of software build system changes and build ownership styles.
ESEM
Mini Shridhar, Bram Adams, Foutse Khomh
2014 C conf
An Empirical Study of the Impact of Cloud Patterns on Quality of Service (QoS).
CloudCom
Geoffrey Hecht, Benjamin Jose-Scheidt, Clement De Figueiredo, Naouel Moha, Foutse Khomh
2014 J jnl
An empirical study of the effect of file editing patterns on software quality.
J. Softw. Evol. Process.
Feng Zhang, Foutse Khomh, Ying Zou, Ahmed E. Hassan
2014 — conf
An empirical study on the fault-proneness of clone migration in clone genealogies.
CSMR-WCRE
Shuai Xie, Foutse Khomh, Ying Zou, Iman Keivanloo
2014 — conf
Anti-pattern Mutations and Fault-proneness.
QSIC
Fehmi Jaafar, Foutse Khomh, Yann-Gaël Guéhéneuc, Mohammad Zulkernine
2014 A conf
Factors impacting rapid releases: an industrial case study.
ESEM
Noureddine Kerzazi, Foutse Khomh
2014 — conf
Investigating the Change-Proneness of Service Patterns and Antipatterns.
SOCA
Francis Palma, Le An, Foutse Khomh, Naouel Moha, Yann-Gaël Guéhéneuc
2014 — conf
On improving the dependability of cloud applications with fault-tolerance.
WICSA Companion
Foutse Khomh
2014 C conf
Supplementary Bug Fixes vs. Re-opened Bugs.
SCAM
Le An, Foutse Khomh, Bram Adams
2014 A conf
Tracing back the history of commits in low-tech reviewing environments: a case study of the Linux kernel.
ESEM
Yujuan Jiang, Bram Adams, Foutse Khomh, Daniel M. Germán
2014 A conf
Why Do Automated Builds Break? An Empirical Study.
ICSME
Noureddine Kerzazi, Foutse Khomh, Bram Adams
2013 A* conf
1st international workshop on release engineering (RELENG 2013).
ICSE
Bram Adams, Christian Bird, Foutse Khomh, Kim Moir
2013 J jnl
An empirical study of faults in late propagation clone genealogies.
J. Softw. Evol. Process.
Liliane Barbour, Foutse Khomh, Ying Zou
2013 A conf
An empirical study of the fault-proneness of clone mutation and clone migration.
MSR
Shuai Xie, Foutse Khomh, Ying Zou
2013 J jnl
Analysing Anti-patterns Static Relationships with Design Patterns.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol.
Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Foutse Khomh
2013 — conf
How Does Context Affect the Distribution of Software Maintainability Metrics?
ICSM
Feng Zhang, Audris Mockus, Ying Zou, Foutse Khomh, Ahmed E. Hassan
2013 A conf
Improving bug localization using correlations in crash reports.
MSR
Shaohua Wang, Foutse Khomh, Ying Zou
2013 — conf
Mining the relationship between anti-patterns dependencies and fault-proneness.
WCRE
Fehmi Jaafar, Yann-Gaël Guéhéneuc, Sylvie Hamel, Foutse Khomh
2013 — conf
On Rapid Releases and Software Testing.
ICSM
Mika Mäntylä, Foutse Khomh, Bram Adams, Emelie Engström, Kai Petersen
2013 — conf
On the effect of program exploration on maintenance tasks.
WCRE
Zéphyrin Soh, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol, Bram Adams
2013 — conf
Predicting Bugs Using Antipatterns.
ICSM
Seyyed Ehsan Salamati Taba, Foutse Khomh, Ying Zou, Ahmed E. Hassan, Meiyappan Nagappan
2013 — ed.
Proceedings of the 1st International Workshop on Release Engineering, RELENG 2013, San Francisco, California, USA, May 20, 2013
RELENG@ICSE
Bram Adams, Christian Bird, Foutse Khomh, Kim Moir
2013 — conf
Towards understanding how developers spend their effort during maintenance activities.
WCRE
Zéphyrin Soh, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol
2012 — conf
A concept analysis approach for guiding users in service discovery.
SOCA
Bipin Upadhyaya, Foutse Khomh, Ying Zou, Alex Lau, Joanna Ng
2012 — conf
Adapting Linux for mobile platforms: An empirical study of Android.
ICSM
Foutse Khomh, Hao Yuan, Ying Zou
2012 — conf
An Empirical Study of the Effect of File Editing Patterns on Software Quality.
WCRE
Feng Zhang, Foutse Khomh, Ying Zou, Ahmed E. Hassan
2012 — conf
An Empirical Study on Factors Impacting Bug Fixing Time.
WCRE
Feng Zhang, Foutse Khomh, Ying Zou, Ahmed E. Hassan
2012 J jnl
An exploratory study of the impact of antipatterns on class change- and fault-proneness.
Empir. Softw. Eng.
Foutse Khomh, Massimiliano Di Penta, Yann-Gaël Guéhéneuc, Giuliano Antoniol
2012 — conf
Analyzing the Impact of Antipatterns on Change-Proneness Using Fine-Grained Source Code Changes.
WCRE
Daniele Romano, Paulius Raila, Martin Pinzger, Foutse Khomh
2012 A conf
Do faster releases improve software quality? An empirical case study of Mozilla Firefox.
MSR
Foutse Khomh, Tejinder Dhaliwal, Ying Zou, Bram Adams
2012 — conf
Extracting RESTful services from Web applications.
SOCA
Bipin Upadhyaya, Foutse Khomh, Ying Zou
2012 — conf
Inferring Repository File Structure Modifications Using Nearest-Neighbor Clone Detection.
WCRE
Thierry Lavoie, Foutse Khomh, Ettore Merlo, Ying Zou
2012 — conf
Recovering commit dependencies for selective code integration in software product lines.
ICSM
Tejinder Dhaliwal, Foutse Khomh, Ying Zou, Ahmed E. Hassan
2011 A conf
An Automatic Approach for Extracting Process Knowledge from the Web.
ICWS
Hua Xiao, Bipin Upadhyaya, Foutse Khomh, Ying Zou, Joanna Ng, Alex Lau
2011 — conf
An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension.
CSMR
Marwen Abbes, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol
2011 — conf
An Entropy Evaluation Approach for Triaging Field Crashes: A Case Study of Mozilla Firefox.
WCRE
Foutse Khomh, Brian Chan, Ying Zou, Ahmed E. Hassan
2011 J jnl
BDTEX: A GQM-based Bayesian approach for the detection of antipatterns.
J. Syst. Softw.
Foutse Khomh, Stéphane Vaucher, Yann-Gaël Guéhéneuc, Houari A. Sahraoui
2011 — conf
Classifying field crash reports for fixing bugs: A case study of Mozilla Firefox.
ICSM
Tejinder Dhaliwal, Foutse Khomh, Ying Zou
2011 — conf
Improving the Modifiability of the Architecture of Business Applications.
QSIC
Xulin Zhao, Foutse Khomh, Ying Zou
2011 — conf
Late propagation in software clones.
ICSM
Liliane Barbour, Foutse Khomh, Ying Zou
2011 — conf
Predicting post-release defects using pre-release field testing results.
ICSM
Foutse Khomh, Brian Chan, Ying Zou, Anand Sinha, Dave Dietz
2010 Misc conf
IDS: An Immune-Inspired Approach for the Detection of Software Design Smells.
QUATIC
Salima Hassaine, Foutse Khomh, Yann-Gaël Guéhéneuc, Sylvie Hamel
2010 — conf
Numerical Signatures of Antipatterns: An Approach Based on B-Splines.
CSMR
Rocco Oliveto, Foutse Khomh, Giuliano Antoniol, Yann-Gaël Guéhéneuc
2010 — conf
SQUANER: A framework for monitoring the quality of software systems.
ICSM
Nicolas Haderer, Foutse Khomh, Giuliano Antoniol
2009 — conf
A Bayesian Approach for the Detection of Code and Design Smells.
QSIC
Foutse Khomh, Stéphane Vaucher, Yann-Gaël Guéhéneuc, Houari A. Sahraoui
2009 — conf
An Exploratory Study of the Impact of Code Smells on Software Change-proneness.
WCRE
Foutse Khomh, Massimiliano Di Penta, Yann-Gaël Guéhéneuc
2009 — conf
Playing roles in design patterns: An empirical descriptive and analytic study.
ICSM
Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol
2009 — conf
SQUAD: Software Quality Understanding through the Analysis of Design.
WCRE
Foutse Khomh
2009 — conf
Tracking Design Smells: Lessons from a Study of God Classes.
WCRE
Stéphane Vaucher, Foutse Khomh, Naouel Moha, Yann-Gaël Guéhéneuc
2008 — conf
Do Design Patterns Impact Software Quality Positively?
CSMR
Foutse Khomh, Yann-Gaël Guéhéneuc
2008 — conf
Génération automatique d'algorithmes de détection des défauts de conception.
LMO
Naouel Moha, Foutse Khomh, Yann-Gaël Guéhéneuc, Laurence Duchien, Anne-Françoise Le Meur
2008 — conf
Is it a bug or an enhancement?: a text-based approach to classify change requests.
CASCON
Giuliano Antoniol, Kamel Ayari, Massimiliano Di Penta, Foutse Khomh, Yann-Gaël Guéhéneuc