2017 SEI Year in Review

Abstract

Message from the Director and CEO: Without question, our national defense and security organizations know the threats our nation faces from adversaries across all operational domains, including cyberspace. The Defense Science Boards 2017 report on priorities (Seven Defense Priorities for the New Administration), for instance, spells out danger from enemy states, non-state actors, and others against U.S. armed forces and our information infrastructure. Consequently, those organizations also are aware that software quality is more important than ever to mission success and sustaining information superiority. Our national defense and security organizations depend on complex, software-based technologies to identify threats, plan operations, conduct missions, arm warfighters, and train personnel. In addition, our weapon systems and the people who operate them are relying more and more on software-enabled autonomous systems. Yet, in the Department of Defense (DoD) and elsewhere in the federal government, software development and sustainment organizations experience problems because of the sheer complexity of the software needed to deliver advanced capabilities and the resulting quality concerns manifested in rampant cost and vulnerability issues. At the Carnegie Mellon University Software Engineering Institute (CMU SEI), a DoD-sponsored federally funded research and development center (FFRDC), we develop software-based technologies to improve software quality by bending the software cost curve, reducing cyber risk by wringing out software defects before they can be exploited as vulnerabilities, and building cyber workforce readiness. In addition, we seek to enable our sponsor and other government organizations to leap ahead technologically by realizing the potential of artificial intelligence and autonomous systems based on software that is resilient, assured, continually responsive to operational needs, and affordable.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2017
Accession Number
AD1089520

Entities

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • Autonomous Systems
  • Big Data
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Costs
  • Cybersecurity
  • Data Mining
  • Data Science
  • Data Set
  • Department Of Defense
  • Deployment
  • Digital Data
  • Emerging Technology
  • Engineering
  • Governments
  • Information Science
  • Machine Learning
  • Materials
  • Military Acquisition
  • National Security
  • Network Science
  • Public Relations
  • Robotics
  • Security
  • Software Development
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Defense Technology Research and Development.
  • Software Engineering.
  • Strategic Security Studies

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs
  • Cyber