This technical report proposes a formal semantics for EMV2 and shows how to leverage this semantics to generate fault trees from an AADL model enriched with EMV2 information.
Derr, A., Echeverría, S., Maffey, K., and Lewis, G., 2025: Introducing MLTE: A Systems Approach to Machine Learning Test and Evaluation. Carnegie Mellon University ...
This report describes in detail what the PSP is and how it works. Starting with a brief discussion of the relationship of the PSP to general quality principles, the report describes how the PSP was ...
Ozkaya, I., and Schmidt, D., 2024: Generative AI and Software Engineering Education. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Robinson, K., and Turri, V., 2024: Auditing Bias in Large Language Models. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Brown, N., 2021: Taking DevSecOps to the Next Level with Value Stream Mapping. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Ruefle, R., 2024: 10 Lessons in Security Operations and Incident Management. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Novak, W., 2023: Acquisition Archetypes Seen in the Wild, DevSecOps Edition: Clinging to the Old Ways. Carnegie Mellon University, Software Engineering Institute's ...
Sarvepalli, V., 2023: UEFI: 5 Recommendations for Securing and Restoring Trust. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Churilla, M., VanHoudnos, N., and Beveridge, R., 2023: The Challenge of Adversarial Machine Learning. Carnegie Mellon University, Software Engineering Institute's ...
Scanlon, T., 2023: Cybersecurity of Quantum Computing: A New Frontier. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Wassermann, G., and Svoboda, D., 2023: Rust Vulnerability Analysis and Maturity Challenges. Carnegie Mellon University, Software Engineering Institute's Insights ...