2 citations · 5 across the 12 of their papers we have counts for
13 papers
Actionable Meta-Requirements for AI Robustness Auditing
Joshua Owotogbe, Roya Nasiri, Indika Kumara +2
AI-enabled systems must remain dependable when the conditions under which they operate change (e.g., due to input perturbations, distribution shifts, or changes in external depende…
Sustainability of Open-Source Machine Learning Robustness Assessment Tools: A Repository Mining Study
Joshua Owotogbe, Indika Kumara, Willem-Jan van den Heuvel +1
Robustness evaluation is essential for deploying machine-learning (ML) systems in real-world settings, where models may face adversarial perturbations, distribution shifts, and oth…
AIGen: Automating AI Bill of Materials Generation Through Hybrid MLOps Integration
Federica Pepe, Daniele Bifolco, Costantino Martignetti +4
The responsible development and deployment of artificial intelligence (AI) systems requires rigorous documentation of their constituent artifacts, e.g., datasets, model weights, tr…
Tiny Machine-Learning Operations within Cyber-Physical Systems: a Field Study
Filippo Scaramuzza, Damian A. Tamburri
Machine-Learning Operations (MLOps) is maturing into a software-engineering discipline, yet its tiny-scale variant (TinyMLOps)-targeting the resource-constrained microcontrollers e…
A Taxonomy of Runtime Faults in Model Context Protocol Servers
Joshua Owotogbe, Indika Kumara, Willem-Jan van den Heuvel +3
MCP (Model Context Protocol) enables LLMs (Large Language Models) to interact with external tools and data sources via a standardized protocol. Its rapid adoption in tool-augmented…
Privacy Engineering: A Systematic Literature Review
Nemania Borovits, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Privacy obligations under GDPR increasingly shape software engineering. We synthesize 90 studies from 2018 to 2025 using a systematic review with thematic synthesis to chart privac…
IaC Generation with LLMs: An Error Taxonomy and A Study on Configuration Knowledge Injection
Roman Nekrasov, Stefano Fossati, Indika Kumara +2
Large Language Models (LLMs) currently exhibit low success rates in generating correct and intent-aligned Infrastructure as Code (IaC). This research investigated methods to improv…
"Show Me You Comply... Without Showing Me Anything": Zero-Knowledge Software Auditing for AI-Enabled Systems
Filippo Scaramuzza, Renato Cordeiro Ferreira, Giovanni Quattrocchi +2
Classical software verification and validation techniques, such as procedural audits, formal methods, or model documentation, are the traditional mechanisms used to achieve the ver…
Accountability of Robust and Reliable AI-Enabled Systems: A Preliminary Study and Roadmap
Filippo Scaramuzza, Damian A. Tamburri, Willem-Jan van den Heuvel
This vision paper presents initial research on assessing the robustness and reliability of AI-enabled systems, and key factors in ensuring their safety and effectiveness in practic…
Chaos Engineering in the Wild: Findings from GitHub
Joshua Owotogbe, Indika Kumara, Dario Di Nucci +2
Chaos Engineering (CE) enhances system resilience by deliberately injecting faults to uncover weaknesses before they cause outages. Despite the availability of many CE tools, littl…
Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective
Ambarish Moharil, Indika Kumara, Damian Andrew Tamburri +2
This paper conceptualizes the Deep Weight Spaces (DWS) of neural architectures as hierarchical, fractal-like, coarse geometric structures observable at discrete integer scales thro…
Chaos Engineering: A Multi-Vocal Literature Review
Joshua Owotogbe, Indika Kumara, Willem-Jan Van Den Heuvel +1
Organizations, particularly medium and large enterprises, typically rely heavily on complex, distributed systems to deliver critical services and products. However, the growing com…
A Scale-Invariant Diagnostic Approach Towards Understanding Dynamics of Deep Neural Networks
Ambarish Moharil, Damian Tamburri, Indika Kumara +2
This paper introduces a scale-invariant methodology employing \textit{Fractal Geometry} to analyze and explain the nonlinear dynamics of complex connectionist systems. By leveragin…