2 citations · 7 across the 12 of their papers we have counts for
5 papers · 1 filter
ML in a Box: Analyzing Containerization Practices in Open Source ML Projects
Faten Jebari, Emna Ksontini, Amine Barrak +1
Containerization has become increasingly essential in the machine learning (ML) domain, providing reproducibility, portability, and environment consistency. While prior studies hav…
A Large-Scale Dataset of MCP Implementations on GitHub
Benny Toeppe, Amine Barrak, Emna Ksontini
The rapid emergence of the Model Context Protocol (MCP) has introduced a new standard for connecting large language models to external tools and services. Despite its rapid adoptio…
CARGO: A Framework for Confidence-Aware Routing of Large Language Models
Amine Barrak, Yosr Fourati, Michael Olchawa +2
As large language models (LLMs) proliferate in scale, specialization, and latency profiles, the challenge of routing user prompts to the most appropriate model has become increasin…
FaaSGuard: Secure CI/CD for Serverless Applications -- An OpenFaaS Case Study
Amine Barrak, Emna Ksontini, Ridouane Atike +1
Serverless computing significantly alters software development by abstracting infrastructure management and enabling rapid, modular, event-driven deployments. Despite its benefits,…
From REST to MCP: An Empirical Study of API Wrapping and Automated Server Generation for LLM Agents
Meriem Mastouri, Emna Ksontini, Amine Barrak +1
The Model Context Protocol (MCP) is emerging as a standard interface through which LLM agents invoke external tools, and a growing ecosystem of MCP servers now mediates access to v…