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Ricardo Britto
Scholar

Ricardo Britto

Google Scholar ID: yifGfE8AAAAJ
Ericsson / Blekinge Institute of Technology
Software process improvementMachine LearningSearch-basedsoftware engineering
Google Scholar↗
Citations & Impact
All-time
Citations
1,901
 
H-index
21
 
i10-index
34
 
Publications
20
 
Co-authors
25
list available
Publications
9 items
Using Agentic AI for contextualized and multifaceted code review at Ericsson
2026
Cited
0
Towards Assurance Closure in AI-Native Large-Scale Agile Software Development
2026
Cited
0
Validating Threat Modeling Results with the Help of Vulnerable Test Applications
2026
Cited
0
The AI-Native Large-Scale Agile Software Development Manifesto
2026
Cited
0
Machine Learning-Based Detection of MCP Attacks
2026
Cited
0
Quo Vadis, Code Review? Exploring the Future of Code Review
2025
Cited
0
Automatic Identification of Machine Learning-Specific Code Smells
2025
Cited
0
Automated Code Review Using Large Language Models at Ericsson: An Experience Report
2025
Cited
0
Co-authors
6 total
Darja Šmite
Darja Šmite
Professor of Software Engineering, Blekinge Institute of Technology, SERL-Sweden
Jürgen Börstler
Jürgen Börstler
Professor of Software Engineering, Blekinge Institute of Technology (BTH), SERL-Sweden
Lincoln S. Rocha
Lincoln S. Rocha
Federal University of Ceará
Maria Paasivaara
Maria Paasivaara
Professor of Software Engineering @ LUT University & Aalto University
Urbano José C. Nunes
Urbano José C. Nunes
Professor, Electrical and Computer Engineering Dept., University of Coimbra
Daniel Sadoc Menasche
Daniel Sadoc Menasche
Federal University of Rio de Janeiro (UFRJ), Institute of Computing (IC), Brazil