Software based on the Unified Extensible Firmware Interface (UEFI) standard makes up the firmware of most modern desktop computers and servers. This software is largely invisible to users, critical to ...
Shevchenko, N., 2024: An Introduction to Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
In this paper, SEI researchers incorporate several lessons learned from the coordination of artificial intelligence (AI) and machine learning (ML) vulnerabilities at the SEI’s CERT Coordination Center ...
Schmidt, D., and Robert, J., 2024: Applying Large Language Models to DoD Software Acquisition: An Initial Experiment. Carnegie Mellon University, Software Engineering ...
Ozkaya, I., and O'Hearn, B., 2024: 5 Recommendations to Help Your Organization Manage Technical Debt. Carnegie Mellon University, Software Engineering Institute's ...
Shannon Gallagher discusses findings and recommendations from the Mayflower Project and provides additional background information about LLMs and how they can be engineered for national security use.
Generative artificial intelligence (AI) and large language models (LLMs) have taken the world by storm. The ability of LLMs to perform tasks seemingly on par with humans has led to rapid adoption in a ...
Sherman, M., 2024: Using ChatGPT to Analyze Your Code? Not So Fast. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed December 31 ...
Novak, W., 2023: Acquisition Archetypes Seen in the Wild, DevSecOps Edition: Clinging to the Old Ways. Carnegie Mellon University, Software Engineering Institute's ...
Wilson, S., Place, P., and Korzec, K., 2023: The Seven Virtues of Reconciling Agile and Earned Value Management (EVM). Carnegie Mellon University, Software ...
Sarvepalli, V., 2023: UEFI: 5 Recommendations for Securing and Restoring Trust. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Benitez Preciado, M., 2023: Software Isolation: Why It Matters to Software Evolution and Why Everybody Puts It Off. Carnegie Mellon University, Software Engineering ...