4 citations · 8 across the 9 of their papers we have counts for
4 papers · 1 filter
Using Agentic AI for contextualized and multifaceted code review at Ericsson
Muhammad Laiq, Ricardo Britto, Muhammad Usman +2
Context: Conducting effective code reviews is increasingly challenging due to the growing complexity of software systems and the accelerated code generation by AI coding agents. LL…
Towards Assurance Closure in AI-Native Large-Scale Agile Software Development
Ricardo Britto
The AI-Native Manifesto envisions large-scale agile software development in which humans increasingly govern intent, risk, and exceptions while agents execute more of the engineeri…
Validating Threat Modeling Results with the Help of Vulnerable Test Applications
Oleksandr Adamov, Davide Fucci, Felix Viktor Jedrzejewski +2
Validating threat modeling results remains difficult because completeness is hard to judge without an external oracle. Existing studies often rely on expert-produced reference mode…
Machine Learning-Based Detection of MCP Attacks
Tobias Mattsson, Samuel Nyberg, Anton Borg +1
The Model Context Protocol (MCP) is a new and emerging technology that extends the functionality of large language models, improving workflows but also exposing users to a new atta…