Just-in-time detection of protection-impacting changes on WordPress and MediaWiki. - Amine Barrak; Marc-André Laverdière; Foutse Khomh; Le An; Ettore Merlo (CASCON, 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 (QRS, 2018)

Identification of Compromised IoT Devices: Combined Approach Based on Energy Consumption and Network Traffic Analysis. - Fehmi Jaafar; Darine Ameyed; Amine Barrak; Mohamed Cheriet (QRS, 2021)

On the Co-evolution of ML Pipelines and Source Code - Empirical Study of DVC Projects. - Amine Barrak; Ellis E. Eghan; Bram Adams (SANER, 2021)

Why do builds fail? - A conceptual replication study. - Amine Barrak; Ellis E. Eghan; Bram Adams; Foutse Khomh (J. Syst. Softw., 2021)

On Securing the Communication in IoT Infrastructure using Elliptic Curve Cryptography. - Hugo Bourreau; Emeric Guichet; Amine Barrak; Benoît Simon; Fehmi Jaafar (QRS Companion, 2022)

Serverless on Machine Learning: A Systematic Mapping Study. - Amine Barrak; Fábio Petrillo; Fehmi Jaafar (IEEE Access, 2022)

Toward a traceable, explainable, and fairJD/Resume recommendation system. - Amine Barrak; Bram Adams; Amal Zouaq (CoRR, 2022)

Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning. - Amine Barrak; Ranim Trabelsi; Fehmi Jaafar; Fábio Petrillo (IC2E, 2023)

SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture. - Amine Barrak; Mayssa Jaziri; Ranim Trabelsi; Fehmi Jaafar; Fábio Petrillo (QRS, 2023)

Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance. - Amine Barrak; Fábio Petrillo; Fehmi Jaafar (CoRR, 2023)

The Promise of Serverless Computing within Peer-to-Peer Architectures for Distributed ML Training. - Amine Barrak (AAAI, 2024)

Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract). - Amine Barrak (AAAI, 2024)

Securing AWS Lambda: Advanced Strategies and Best Practices. - Amine Barrak; Gildas Fofe; Léo Mackowiak; Emmanuel Kouam; Fehmi Jaafar (CSCloud, 2024)

Scalable and Cost-Efficient ML Inference: Parallel Batch Processing with Serverless Functions. - Amine Barrak; Emna Ksontini (ICSOC Workshops (2), 2024)

Dependable Software-Optimized Energy Management for IoT-Enabled Smart Buildings. - Aycha Abid; Amine Barrak; Issouf Bakayoko; Fehmi Jaafar; David Rancourt (SERP4IoT, 2025)