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ORCIDArmstrong Foundjem
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- affiliation: Queen's University, Kingston, Canada
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2020 – today
- 2026
[i9]Yang Liu, Armstrong Foundjem, Xingfang Wu, Heng Li, Foutse Khomh:
Improving the Robustness of Large Language Models for Code Tasks via Fine-tuning with Perturbed Data. CoRR abs/2602.11411 (2026)- [i8]Yang Liu, Da Song, Armstrong Foundjem, Heng Li, Foutse Khomh:
Structural Anchors and Reasoning Fragility:Understanding CoT Robustness in LLM4Code. CoRR abs/2604.12214 (2026) - [i7]Alicia Parrish, Rajat Shinde, Sanket Badhe, Xinyi Bai, Sree Bhargavi Balija, Hua-Rong Chu, Emilio Ferrara, Armstrong Foundjem, Rajat Ghosh, Aakash Gupta, Xuanli He, Ong Chen Hui, Minji Jung, Madhangi Karimanal, Faiza Khan Khattak, Boryoung Kim, Eugenia Kim, Liliya Lavitas, Seok Min Lim, Victor Lu, Jim Moirangthem, Dhivya Nagasubramanian, Deepak Pandita, Sita Rajagopal, Geetha Raju, Evgeniia Razumovskaia, Aravind Reddy, Federico Ricciuti, Nobin Sarwar, Sungpil Shin, Sunayana Sitaram, Snehal Thorat, Tharindu Cyril Weerasooriya, Jasmijn Bastings, Joachim Baumann, Kongtao Chen, Murali Emani, Mariya Hendriksen, Jiho Jin, Jun Seong Kim, Younghoon Ko, Alicja Kwasniewska, Minjae Lee, Tom Wei-cyuan Lin, Kashyap Ramanandula Manjusha, Junho Myung, Junyeong Park, Roma Patel, Shyam Ratan, Sudarsun Santhiappan, Priyanka Suresh, Tuesday, Ksheeraj Sai Vepuri Laura Amortegui-Ordonez, Claire Dennis, Minsuk Kahng, Chris Knotz, Alice Oh, Balaraman Ravindran, Soojung Ryu, William Bartholomew, Hiwot Tesfaye, Lora Aroyo:
Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability. CoRR abs/2607.06196 (2026) - 2025
- [j5]Yang Liu
, Armstrong Foundjem, Foutse Khomh, Heng Li:
Adversarial attack classification and robustness testing for large language models for code. Empir. Softw. Eng. 30(5): 154 (2025) - [j4]Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming (Jack) Jiang, Mouna Abidi, Ahmed E. Hassan:
An Empirical Study of Testing Machine Learning in the Wild. ACM Trans. Softw. Eng. Methodol. 34(1): 7:1-7:63 (2025) - [c7]Sean McGregor, Vassil Tashev, Armstrong Foundjem, Aishwarya Ramasethu, Sadegh AlMahdi Kazemi Zarkouei, Chris Knotz, Kongtao Chen, Alicia Parrish, Anka Reuel-Lamparth, Heather Frase:
Risk Management for Mitigating Benchmark Failure Modes: BenchRisk. NeurIPS 2025 - [i6]Yang Liu, Armstrong Foundjem, Foutse Khomh, Heng Li:
Adversarial Attack Classification and Robustness Testing for Large Language Models for Code. CoRR abs/2506.07942 (2025) - [i5]Sean McGregor, Victor Lu, Vassil Tashev, Armstrong Foundjem, Aishwarya Ramasethu, Sadegh AlMahdi Kazemi Zarkouei, Chris Knotz, Kongtao Chen, Alicia Parrish, Anka Reuel, Heather Frase:
Risk Management for Mitigating Benchmark Failure Modes: BenchRisk. CoRR abs/2510.21460 (2025) - [i4]Gregor von Laszewski, Wesley Brewer, Jeyan Thiyagalingam, Juri Papay, Armstrong Foundjem, Piotr Luszczek, Murali Emani, Shirley V. Moore, Vijay Janapa Reddi, Matthew D. Sinclair, Sebastian Lobentanzer, Sujata S. Goswami, Benjamin Hawks, Marco Colombo, Nhan Tran, Christine R. Kirkpatrick, Abdulkareem Alsudais, Gregg Barrett, Tianhao Li, Kirsten N. Morehouse, Shivaram Venkataraman, Rutwik Jain, Kartik Mathur, Victor Lu, Tejinder Singh, Khojasteh Z. Mirza, Kongtao Chen, Sasidhar Kunapuli, Gavin Farrell, Renato Umeton, Geoffrey C. Fox:
AI Benchmark Democratization and Carpentry. CoRR abs/2512.11588 (2025) - [i3]Armstrong Foundjem, Lionel Nganyewou Tidjon, Léuson M. P. da Silva, Foutse Khomh:
Multi-Agent Framework for Threat Mitigation and Resilience in AI-Based Systems. CoRR abs/2512.23132 (2025) - 2024
- [c6]Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh:
Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends. SANER 2024: 512-523 - [i2]Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh:
Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends. CoRR abs/2401.13177 (2024) - 2023
- [j3]Armstrong Foundjem, Ellis E. Eghan, Bram Adams:
A Grounded Theory of Cross-Community SECOs: Feedback Diversity Versus Synchronization. IEEE Trans. Software Eng. 49(10): 4731-4750 (2023) - [i1]Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming Jiang, Mouna Abidi, Ahmed E. Hassan:
Studying the Practices of Testing Machine Learning Software in the Wild. CoRR abs/2312.12604 (2023) - 2022
- [b1]Armstrong Tita Foundjem:
Software Ecosystem Sustainability, a Socio-Technical Perspective. Queen's University at Kingston, Ontario, Canada, 2022 - [j2]Armstrong Foundjem, Eleni Constantinou, Tom Mens, Bram Adams:
A mixed-methods analysis of micro-collaborative coding practices in OpenStack. Empir. Softw. Eng. 27(5): 120 (2022) - 2021
- [j1]Armstrong Foundjem, Bram Adams:
Release synchronization in software ecosystems. Empir. Softw. Eng. 26(3): 34 (2021) - [c5]Armstrong Foundjem, Ellis E. Eghan, Bram Adams:
An Open Dataset for Onboarding new Contributors: Empirical Study of OpenStack Ecosystem. ICSE (Companion Volume) 2021: 240-241 - [c4]Armstrong Foundjem, Ellis E. Eghan, Bram Adams:
Onboarding vs. Diversity, Productivity, and Quality - Empirical Study of the OpenStack Ecosystem. ICSE 2021: 1033-1045 - 2020
- [c3]Armstrong Foundjem:
Cross-distribution Feedback in Software Ecosystems. ICSE (Workshops) 2020: 723-724
2010 – 2019
- 2019
- [c2]Foundjem Armstrong:
Release synchronization in software ecosystems. ICSE (Companion Volume) 2019: 135-137 - 2017
- [c1]Foundjem Armstrong, Foutse Khomh, Bram Adams:
Broadcast vs. Unicast Review Technology: Does It Matter? ICST 2017: 219-229
Coauthor Index
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last updated on 2026-08-06 23:04 CEST by the dblp team
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