The Software Engineering Institute (SEI) today released its annual review of noteworthy research and development projects from the previous fiscal year. The 2025 SEI Year in Review highlights some of ...

Management of IT secrets, such as passwords and application programming interface (API) keys, has become an area of increased importance as the number of systems that use such secrets has grown in ...

Since our foundation in 1984, we have helped the Department of War (DoW), government agencies, and private industry meet mission goals and gain strategic advantage by innovating and advancing the ...

Training courses, workshops, and seminars help transition SEI technology and research to the broader community, disseminating recent advances relevant to our mission. The Effective Communication of ...

A system's software architecture is widely regarded as one of the most important software artifacts. Software professionals routinely make decisions that impact that architecture, yet many times that ...

The Department of Defense (DoD) has long recognized the potential benefits of using autonomous systems for mission success. Over the last 10 years, there have been advances in artificial intelligence ...

The Software Engineering Institute is a leader in researching complex solutions, connecting AI, cyber, and software strategies for maximum impact. Since 1984, the SEI has been one of only 10 Federally ...

U.S. private industry leads the world in artificial intelligence research, development, and deployment, having invested $109 billion in 2024 alone. AI attracts massive RD&D investment because the ...

In this webcast, Brigid O’Hearn, Christina Rhylander, and Julie Cohen provide you with the practical insight you need to develop a Capability Needs Statement (CNS) that will be effective for your ...

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

Shevchenko, N., 2020: An Introduction to Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's Insights (blog ...

McGregor, J., and Cohen, S., 2022: Modeling Languages for Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's ...