Software Engineering Institute

At the 2022 Research Review, our researchers detail how they are forging a new path for software engineering by executing the SEI’s technical strategy to deliver tangible results. They highlight methods, prototypes, and tools aimed at the most important problems facing the Department of Defense (DoD), industry, and academia, including artificial intelligence (AI) engineering, computing at the tactical edge, threat hunting, continuous integration/continuous delivery, and machine learning trustworthiness. Learn how our researchers' work in areas such as model-based systems engineering, DevSecOps, automated design conformance, software/cyber/AI integration, and AI network defense—to name a few—has produced value for the U.S. DoD and advanced the state of the practice.

Day 1 included the following sessions:

• Welcome | Dr. Tom Longstaff and Dr. Paul Nielsen
• Keynote: Dr. William Streilein, Chief Technology Officer for the Chief Digital and AI Office, Department of Defense | Dr. William (Bill) W. Streilein
• Knowing When You Don't Know: Quantifying Reasoning about Reducing the Effect of Uncertainty Machine Learning Techniques | Dr. Eric Heim
• Portable High-performance Inference on the Tactical Edge (PHITE) | Dr. Scott McMillan
• Automating Mismatch Detection and Testing in ML Systems | Dr. Grace Lewis, Alex Derr, and Dr. Rachel Brower-Sinning
• A Prototype Software Framework for Digital Content Forgery Detection | Dr. Shannon Gallagher
• AI Evaluation Methodology for Defensive Cyber Operator Tools | Dr. Shing-hon Lau