This report presents Agile Architecture Risk Management and Continuous Risk Management to identify S/W development risks before production and project failure.
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 ...
McGregor, J., and Cohen, S., 2022: Modeling Languages for Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's ...
Ozkaya, I., Carleton, A., Robert, J., and Schmidt, D., 2023: Application of Large Language Models (LLMs) in Software Engineering: Overblown Hype or Disruptive Change ...
Delange, J., 2014: Architecture Analysis Using AADL: A Beginner's Perspective. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Wrubel, E., Creel, R., and O'Hearn, B., 2025: 5 Essential Questions for Implementing the Software Acquisition Pathway and the Tools to Tackle Them. Carnegie Mellon University, Software Engineering ...
Software is a crucial and growing part of the organizational security, cybersecurity, and the national security mission. The Defense Science Board (DSB) Task Force on the Design and Acquisition of ...
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 ...
In this webcast, SEI researchers explore the current challenges and emerging solutions for building and sustaining cyber and AI-ready individuals and teams.
Our latest podcast highlights an AI Adoption Maturity Model that organizations can use to create a roadmap for predictable AI adoption and realization of AI benefits.