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 ...

Complete the form below to register and download a free online copy of SEI CERT C++ Coding Standard: Rules for Developing Safe, Reliable, and Secure Systems in C++ (2016 Edition).

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

Leaders in defense and national security want to obtain the leap-ahead capabilities AI offers. At the same time, it is difficult to get AI right. As many as 85% of current AI deployments fail—failures ...

Authors who have submitted their papers by the March 4 deadline will have a 48-hour grace period to update their submissions after the deadline passes. However, these papers must be submitted by the ...

The SEI's publication of the Capability Maturity Model for Software (Software CMM) in 1991 changed the view in government and industry about software quality. The model consisted of best practices in ...

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

The Software Solutions Division works with government, industry, and academia to assure that software functions predictably as intended and that capability is delivered quickly with a minimum of ...

The Software Engineering Institute (SEI) at Carnegie Mellon University is a Federally Funded Research and Development Center (FFRDC)—a nonprofit, public–private partnership that conducts research for ...

Ozkaya, I., and Schmidt, D., 2024: Generative AI and Software Engineering Education. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...

Scherlis, B., 2024: Weaknesses and Vulnerabilities in Modern AI: AI Risk, Cyber Risk, and Planning for Test and Evaluation. Carnegie Mellon University, Software ...

Scherlis, B., 2024: Weaknesses and Vulnerabilities in Modern AI: Integrity, Confidentiality, and Governance. Carnegie Mellon University, Software Engineering ...