McGregor, J., and Cohen, S., 2022: Modeling Languages for Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's ...
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 ...
Scherlis, B., 2024: Weaknesses and Vulnerabilities in Modern AI: Integrity, Confidentiality, and Governance. Carnegie Mellon University, Software Engineering ...
Walsh, M., Ross, D., Worrell, C., and Gomez, A., 2023: Harnessing the Power of Large Language Models For Economic and Social Good: Foundations. Carnegie Mellon ...
Woody, D., and Creel, R., 2021: Six Key Cybersecurity Engineering Activities for Building a Cybersecurity Strategy. Carnegie Mellon University, Software Engineering ...
Walsh, M., 2024: A Framework for Detection in an Era of Rising Deepfakes. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed March ...
Costa, D., and Trzeciak, R., 2023: The 13 Key Elements of an Insider Threat Program. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Klieber, W., 2021: A Technique for Decompiling Binary Code for Software Assurance and Localized Repair. Carnegie Mellon University, Software Engineering Institute's ...
Sible, J., and Svoboda, D., 2022: Rust Software Security: A Current State Assessment. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
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 ...
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