Tobar, D., Jamieson, J., Priest, M., and Fricke, J., 2025: 7 Recommendations to Improve SBOM Quality. Carnegie Mellon University, Software Engineering Institute's ...
Walsh, M., Schulker, D., Ross, D., and Cortese, D., 2024: Cyber-Physical Sensing to Extend the National Intelligence, Surveillance, and Reconnaissance Mesh. Carnegie ...
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 ...
This report describes 11 common vulnerabilities and 3 risks related to application programming interfaces, providing suggestions about how to fix or reduce their impact. Application programming ...
Schmidt, D., and Robert, J., 2024: Applying Large Language Models to DoD Software Acquisition: An Initial Experiment. Carnegie Mellon University, Software Engineering ...
Yankel, J., 2024: Example Case: Using DevSecOps to Redefine Minimum Viable Product. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Ruefle, R., 2024: 10 Lessons in Security Operations and Incident Management. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Sherman, M., 2024: Using ChatGPT to Analyze Your Code? Not So Fast. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed November 3 ...
Groce, P., 2023: Using Game Theory to Advance the Quest for Autonomous Cyber Threat Hunting. Carnegie Mellon University, Software Engineering Institute's Insights ...
Benitez Preciado, M., 2023: Software Isolation: Why It Matters to Software Evolution and Why Everybody Puts It Off. Carnegie Mellon University, Software Engineering ...
Wassermann, G., and Svoboda, D., 2023: Rust Vulnerability Analysis and Maturity Challenges. Carnegie Mellon University, Software Engineering Institute's Insights ...
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