sei.cmu

Software Architecture: Principles and Practices - eLearning

Although the term software architecture is used frequently in today's software industry, its meaning is not universally understood. In this course we answer these questions. What is software ...
sei.cmu

Modeling System Architectures Using the Architecture Analysis and Design Language (AADL ...

Modeling and validating quality attributes for real-time, embedded systems is often done with low-fidelity software models and disjointed architectural specifications by various engineers using their ...
sei.cmu

Live-Online Training

The SEI's online learning platforms provide expert instruction as well as exercises, assessments, and other resources. Our live-online training offers synchronous learning where you and your ...
sei.cmu

How Easy Is It to Make and Detect a Deepfake?

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 ...
sei.cmu

Weaknesses and Vulnerabilities in Modern AI: AI Risk, Cyber Risk, and Planning for Test and ...

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

Weaknesses and Vulnerabilities in Modern AI: Integrity, Confidentiality, and Governance

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

Probably Don’t Rely on EPSS Yet

Spring, J., 2022: Probably Don’t Rely on EPSS Yet. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 14, 2025, https ...
sei.cmu

A Field Study of Technical Debt

Ernst, N., 2015: A Field Study of Technical Debt. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 10, 2025, https://www ...
sei.cmu

Rust Vulnerability Analysis and Maturity Challenges

Wassermann, G., and Svoboda, D., 2023: Rust Vulnerability Analysis and Maturity Challenges. Carnegie Mellon University, Software Engineering Institute's Insights ...
sei.cmu

AI Engineering

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 ...
sei.cmu

10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition

Robert, J., and Schmidt, D., 2024: 10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition. Carnegie Mellon University, Software ...
sei.cmu

A Collaborative Method for Engineering Safety- and Security-Related Requirements

Firesmith, D., 2011: A Collaborative Method for Engineering Safety- and Security-Related Requirements. Carnegie Mellon University, Software Engineering Institute's ...