At the Carnegie Mellon University Software Engineering Institute (SEI), we research long-term problems of considerable complexity to help the U.S. Department of Defense (DoD) and other government agencies adopt Agile practices, avoid security risks, deliver software-reliant capabilities faster, reduce sustainment costs, strengthen the acquisition workforce, and meet other mission goals.
DoD and government agencies use our support and guidance to implement solutions to improve software acquisition and development and deal with cybersecurity threats. Government and industry organizations work with our experts to devise innovative research and development (R&D) answers for tough problems. Researchers in industry and academia collaborate with us on inquiries into critical challenges.
"The SEI's product is the knowledge we create and capture, apply to real-world problems, and distribute to the global software and systems engineering community."
— Paul Nielsen, Director and CEO
We invite you to read, for example, how our
Implement methods and obtain guidance
Learn about working with our technology teams for help in cost estimation, root cause analysis, software assurance, software supply chain security, strategic reuse, system evolution/sustainment, and more.
Find out how our R&D sponsors benefit from gaining the earliest access to innovative technology in areas such as agile adoption, cloud computing, insider threat identification, and vulnerability analysis.
Collaborate in research
See where we might collaborate on research into key technical challenges confronting current and future software-reliant systems, such as malware analysis for mobile platforms, moving target defenses, and software producibility for future architectures.
Educate and train teams
Consider how our team-training program and expert instructors can be an affordable and convenient way to develop your project teams so that they coordinate, communicate, and collaborate with a common understanding.
Connect with us to stay on top of new research by our experts.
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