The Software Engineering Institute (SEI) is a federally funded research and development center (FFRDC) sponsored by the U.S. Department of Defense and operated by Carnegie Mellon University.
The SEI’s mission is to support the nation’s defense by advancing the science, technologies, and practices needed to acquire, develop, operate, and sustain software systems that are innovative, affordable, trustworthy, and enduring.
The 2020 SEI Year in Review highlights the work of the institute undertaken during the fiscal year spanning October 1, 2019, to September 30, 2020.
The Stories
CERT/CC’s VINCE Platform Enables Collaboration on Software Vulnerabilities
The SEI’s CERT Coordination Center (CERT/CC) debuted a web-based collaboration platform for coordinated vulnerability...
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CMMC Model and Guides Strengthen DoD Supply Chain Cybersecurity
In early 2020, the SEI and partner Johns Hopkins University Applied Physics Laboratory (APL) released the initial version...
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SEI Supports Second Annual Cybersecurity Competition for Federal Workforce
The Department of Homeland Security Cybersecurity and Infrastructure Security Agency (CISA) selected the SEI to orchestrate...
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Missile Defense Agency Appoints SEI to Technical Direction Agent
During 2020, the SEI was appointed to the Missile Defense Agency’s (MDA) Technical Direction Agent (TDA), a group composed...
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Linear Algebra Graph Algorithms Approach C++ Standardization
A project headed by the SEI’s Scott McMillan took a step in 2020 toward standardizing graph algorithm application development...
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SEI Research Contributes to DoD’s Software Acquisition Pathway
The SEI reached a major milestone in its multiyear engagement with the Office of Acquisition Enablers within the Office...
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An Integrated Vision of Software Engineering
Editorial: SEI chief technology officer Tom Longstaff proposes a holistic future for software engineering.
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National Initiative Forges the Path to an Engineering Discipline for AI
The Software Engineering Institute (SEI) will lead a National AI Engineering Initiative with funding and guidance from...
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Game-Based Design Improves AI Support of Human Decision Making
After observing several deployed AI decision support systems, Rotem Guttman noticed a common issue. “Humans make poor...
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Navigation Demonstration Flips the Script on Machine Learning in Naturalistic Scenarios
The inverse reinforcement learning (IRL) method predicts behavior and detects anomalies in open-world, naturalistic scenarios.
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Network Simulations Evaluate AI-Powered Network Defense Products
The SEI’s Artificial Intelligence Defense Evaluation (AIDE) project is developing a rigorous, standardized methodology...
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Wildfire Response Tests xView2 Damage Assessment Prototype
Assessing building damage is a critical first step when natural disasters strike. xView2, a machine-learning (ML) computer...
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Enabling the Advanced Battle Management System Vision through Architecture
The SEI was selected by the Department of the Air Force to help inform the ABMS architecture.
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AI Collaboration Supports U.S. Army Operations
The Army selected Carnegie Mellon University (CMU) to become the hub of the U.S. Army’s Artificial Intelligence Task Force...
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Improving the Security of Software Code
The Secure Coding team’s automated code repair tools find and repair specific types of common security flaws in source...
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Virtual Exercise Trains Air Force Mission Defense Teams for Cyber Attacks
Over the past four years, the SEI’s support of the Air Force Space Command and, later, the Air Combat Command (ACC) has...
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Software-Defined Hardware Helps DARPA Reinvent Microelectronics Manufacturing
The Department of Defense (DoD) faces two crises in microelectronics: lack of American manufacturing capacity and hardware...
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SEI Lends Expertise to OSD Effort on Resilient Situational Awareness Systems
The SEI is engaging in two efforts to increase DoD situational awareness. The first is an artificial intelligence (AI)...
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DevSecOps Speeds Artificial Intelligence and Machine Learning Capability
Hasan Yasar, SEI technical director, Continuous Deployment of Capability, and his team provide expertise for implementation...
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TwinOps Combines Digital Twins and DevOps for Better Cyber-Physical Systems
To improve cyber-physical system analysis and testing, Hugues and his colleagues combined the SEI’s expertise in model-based...
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Architecting the Future of Software Engineering
To spur a national discussion that can inform the future direction of the field, the SEI is leading an effort to redefine...
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