Robert, J., and Schmidt, D., 2024: 10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition. Carnegie Mellon University, Software ...
Palat, J., 2022: A Hitchhiker’s Guide to ML Training Infrastructure. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed December ...
Shevchenko, N., 2024: An Introduction to Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Sconiers-Hasan, M., 2024: 3 API Security Risks and Recommendations for Mitigation. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
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.
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 ...
Groce, P., 2023: Using Game Theory to Advance the Quest for Autonomous Cyber Threat Hunting. Carnegie Mellon University, Software Engineering Institute's Insights ...
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 ...
Nicolai, M., Richmond, N., and Morrow, T., 2023: 5 Best Practices from Industry for Implementing a Zero Trust Architecture. Carnegie Mellon University, Software ...