Chick, T., Frye, B., and Reffett, A., 2025: The DevSecOps Capability Maturity Model. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...

Ozkaya, I., Carleton, A., Robert, J., and Schmidt, D., 2023: Application of Large Language Models (LLMs) in Software Engineering: Overblown Hype or Disruptive Change ...

At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice. We have been ...

Langston, M., 2017: Six Best Practices for Securing a Robust Domain Name System (DNS) Infrastructure. Carnegie Mellon University, Software Engineering Institute's ...

Kambic, D., and Fricke, J., 2020: Network Segmentation: Concepts and Practices. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...

Walsh, M., Schulker, D., and Lau, S., 2024: Beyond Capable: Accuracy, Calibration, and Robustness in Large Language Models. Carnegie Mellon University, Software ...

The CERT Division is a leader in cybersecurity. We partner with government, industry, law enforcement, and academia to improve the security and resilience of computer systems and networks. We study ...

The Software Engineering Institute (SEI) is advancing the Department of War’s vision of creating viable, trusted, and extensible artificial intelligence (AI) systems by leading the development of a ...

This collection contains resources about the Architecture Tradeoff Analysis Method (ATAM), a method for evaluating software architectures against quality attribute goals. The Architecture Tradeoff ...

Bernaciak, C., and Ross, D., 2022: How Easy Is It to Make and Detect a Deepfake?. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...

The SEI Digital Library houses thousands of technical papers and other documents, ranging from SEI Technical Reports on groundbreaking research to conference proceedings, survey results, and source ...