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

Yankel, J., and Yasar, H., 2023: 5 Challenges to Implementing DevSecOps and How to Overcome Them. Carnegie Mellon University, Software Engineering Institute's ...

Ernst, N., 2015: A Field Study of Technical Debt. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 29, 2025, https://www ...

Mellinger, A., Justice, D., Connor, M., Gallagher, S., and Brooks, T., 2025: The Myth of Machine Learning Non-Reproducibility and Randomness for Acquisitions and ...

Touhill, G., 2024: The Top 10 Skills CISOs Need in 2024. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 29, 2025 ...

Trevors, M., 2019: Mapping Cyber Hygiene to the NIST Cybersecurity Framework. 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 ...

Spring, J., 2022: Probably Don’t Rely on EPSS Yet. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 29, 2025, https ...

Kazman, R., 2022: Tactics and Patterns for Software Robustness. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 29 ...

In November 2023, the Software Engineering Institute (SEI) developed the first Artificial Intelligence Security Incident Response Team (AISIRT) to increase the safety and security of the artificial ...

Trzeciak, R., and CERT Insider Threat Center, T., 2017: Announcing the National Insider Threat Center. Carnegie Mellon University, Software Engineering Institute's ...

The study explores the risks and tradeoffs when adapting enterprise-IT security and zero trust principles to weapon systems.