5 papers
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…
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…
The AI-Native Large-Scale Agile Software Development Manifesto
Ricardo Britto, Fredrik Palmgren, Nishrith Saini +1
Despite the widespread adoption of agile methods, achieving true agility at scale remains elusive. Large-scale agile frameworks remain largely human-centric and manual, relying on…
Automated Code Review Using Large Language Models at Ericsson: An Experience Report
Shweta Ramesh, Joy Bose, Hamender Singh +5
Code review is one of the primary means of assuring the quality of released software along with testing and static analysis. However, code review requires experienced developers wh…
Using Machine Intelligence to Prioritise Code Review Requests
Nishrith Saini, Ricardo Britto
Modern Code Review (MCR) is the process of reviewing new code changes that need to be merged with an existing codebase. As a developer, one may receive many code review requests ev…