2017 SEI Year in Review Resources
• Collection
Publisher
Software Engineering Institute
Abstract
Thank you for reading the 2017 SEI Year in Review. The following resources provide more information about the topics addressed in individual articles in the Year in Review. The Table of Contents presents the 2017 SEI Year in Review article title followed by the related resources. A list of links at the bottom of the page provide author information and brief summaries for each item.
Using Ground-Truth Data Sets as Engines of Innovation
Ultra-Large-Scale Systems: More than a Decade of Influence
Bridging Science and Practice to Build Cybersecurity Knowledge and Skills
- Using Serious Games (Cyber Kinetic Effects Integration)
- STEPfwd (cyber workforce research and development platform)
Making Biometric Data Extraction Mission Practical
Getting a Handle on Big Learning Platform Performance
Building Trust Between Humans and Autonomous Systems
SEI Research Combats Mounting Acquisition Costs
Reporting DoD Network Vulnerabilities: It Just Got Easier
Assuring Autonomous Systems that Operate in Mission Environments
Pushing R&D to the Front Lines
Enabling Elusive Systems: Adaptive Cyber Defense for Networks
A Fighting Chance: Arming the Analyst in the Age of Big Data
Automated Code Analysis and Transformation
Building the Cyber Capacity of International Partners
Collection Items

Why Does Software Cost So Much? Toward a Causal Model (March 2017)
• Presentation
By Robert W. Stoddard, Michael D. Konrad, Bill Nichols, David Danks (Carnegie Mellon University), Kuh Zhang (Carnegie Mellon University)
This presentation shares early research results that may confirm some well-known drivers of DoD software cost and debunk others.
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Common Sense Guide to Mitigating Insider Threats, Fifth Edition
• Technical Report
By Matthew L. Collins, Michael C. Theis, Randall F. Trzeciak, Jeremy R. Strozer, Jason W. Clark, Daniel L. Costa, Tracy Cassidy, Michael J. Albrethsen, Andrew P. Moore
Presents recommendations for mitigating insider threat based on CERT's continued research and analysis of over 1,000 cases.
Read
Quantifying Uncertainty in Early Lifecycle Cost Estimation (QUELCE)
• Technical Report
By Robert Ferguson, Dennis Goldenson, James McCurley, Robert W. Stoddard, David Zubrow, Debra Anderson
The method of quantifying uncertainty described in this report synthesizes scenario building, Bayesian Belief Network (BBN) modeling and Monte Carlo simulation into an estimation method that quantifies uncertainties, allows subjective …
Read
DoD Software Factbook
• White Paper
By Brad Clark, James McCurley, David Zubrow
This DoD Factbook is an initial analysis of software engineering data from the perspective of policy and management questions about software projects.
Read
Ultra-Large-Scale Systems: The Software Challenge of the Future
• Book
By Peter H. Feiler, Richard P. Gabriel (Sun Microsystems), John B. Goodenough, Richard C. Linger (Oak Ridge National Laboratory), Thomas A. Longstaff, Rick Kazman, Mark H. Klein, Linda M. Northrop, Douglas Schmidt (Vanderbilt University), Kevin Sullivan (University of Virginia), Kurt C. Wallnau
Ultra-Large-Scale Systems: The Software Challenge of the Future is the product of a 12-month study of ultra-large-scale (ULS) systems software.
Read
Using Serious Games
• Poster
By Rotem D. Guttman
Leveraging: Cyber Kinetic Effects Integration (CKEI)
Download
Real-Time Extraction of Heart Rate from Video
• Brochure
By Software Engineering Institute
This technical sheet details our project to extract heart rate from commodity video in real time.
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Micro-Expressions: More than Meets the Eye
• Presentation
By Satya Venneti, Oren Wright
Presentation on research to build an accurate, automatic micro-expression analysis prototype that outperforms humans in spotting and recognizing facial micro-expressions in near real time
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Measuring Performance of Big Learning Workloads
• Poster
By Scott McMillan
Poster on research to build a performance measurement workbench with tools to measure and report performance of large-scale ML platforms
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