2 citations · 2 across the 2 of their papers we have counts for
7 papers
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…
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…
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…
Chaos Engineering in the Wild: Findings from GitHub
Joshua Owotogbe, Indika Kumara, Dario Di Nucci +2
Chaos engineering aims to improve the resilience of software systems by intentionally injecting faults to identify and address system weaknesses that cause outages in production en…
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…
Data Mesh: a Systematic Gray Literature Review
Abel Goedegebuure, Indika Kumara, Stefan Driessen +4
Data mesh is an emerging domain-driven decentralized data architecture that aims to minimize or avoid operational bottlenecks associated with centralized, monolithic data architect…