2018 SEI Year in Review

Abstract

The SEI employs an agile execution strategy, directing resources to the most critical ongoing and future challenges. This approach applies advances in technology and new insights to meet immediate needs, while developing capabilities to address larger underlying material and nonmaterial problems. The organizations essential activities are applied research and development(AR and D), engagement in the field, and technology transition.AR and D produces results such as prototypes, practices, and pilots. Those results benefit from bidirectional learning and information sharing through direct engagements with the U.S. Department of Defense (DoD)and other federal agencies, or agreements with nonfederal Execution Strategy61%4% 35%DEPARTMENTOF DEFENSENONFEDERALDHS ANDOTHER FEDERAL and commercial organizations. The SEI engages with customer organizations that have high priority challenges and problems it can address by closing lifecycle technology gaps. Direct engagement enhances AR and D activities with an understanding of the state of the practice, current and future challenges and gaps, adoption considerations, and access to real-world data and environments that support experimentation, validation, and the maturation of research approaches. These engagements also provide the credibility and access that enable technology transfer to DoD organizations and the wider software engineering community.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2019
Accession Number
AD1145842

Entities

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Computer Languages
  • Computer Network Security
  • Computer Programming
  • Computer Programs
  • Computer Vision
  • Computers
  • Cyberattacks
  • Cybersecurity
  • Data Analysis
  • Information Science
  • Machine Learning
  • National Security
  • Software Development

Fields of Study

  • Computer science

Readers

  • Defense Acquisition Program Management
  • Defense Technology Research and Development.
  • Software Engineering.