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2021 SEI Year in Review

May 2022 Annual Report

The 2021 SEI Year in Review highlights the work of the institute undertaken during the fiscal year spanning October 1, 2020, to September 30, 2021.

Abstract

Always focused on the future, the Software Engineering Institute (SEI) advances software as a strategic advantage for national security. We lead research and direct transition of software engineering, cybersecurity, and artificial intelligence technologies at the intersection of academia, industry, and government. We serve the nation as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of Defense (DoD) and are based at Carnegie Mellon University, a global research university annually rated among the best for its programs in computer science and engineering. The 2021 SEI Year in Review highlights the work of the institute undertaken during the fiscal year spanning October 1, 2020, to September 30, 2021.

Contents

  • A Message from the Director and Chief Executive Officer
  • Execution Strategy
  • News Briefs
  • Operationalizing Responsible Artificial Intelligence
  • Quantifying Uncertainty in Mission-Critical AI Systems
  • Building the Quantum Advantage Evaluation Framework
  • AI and Open Source Software Contribution
  • Agile Virtual Schoolhouse Enables Vital Distance Learning
  • Building a Roadmap for System Cybersecurity Improvement
  • A Vision and Roadmap for Software Engineering Research and Development
  • New Artificial Intelligence Division to Advance the Discipline
  • AI Engineering: Building the Discipline and Growing an Ecosystem
  • Modeling DevSecOps for Software Pipeline Assurance
  • Enabling the Next Generation of U.S. Nuclear Deterrence
  • Supporting Innovation Through Diversity, Equity, and Inclusion
  • Getting the Jump on System Failures in AI-Powered Data Processing Pipelines
  • Achieving Confidence in Multicore Processors to Enhance DoD Capabilities
  • Transitioning the DoD’s Software Acquisition Pathway to Programs
  • Accelerating New Capability Through Rapid Certifiable Trust
  • Improving System Interoperability with a Data-Centric Universal C2 Language
  • Leadership
  • SEI Research Teams