Publications
The SEI provides access to more than 5,000 documents from three decades of research on best practices in software engineering. These documents include technical reports, presentations, webinars, podcasts, blogs, and other searchable materials. You can search our database to find publications that span the SEI's history as well as current research.
SEI Digital Library
Our digital library holds over 30 years of publications that you can browse by topic, author, and publication type.
New in Publications
AI Engineering: 11 Foundational Practices
September 12, 2019 • White Paper
This initial set of recommendations can help organizations that are beginning to build, acquire, and integrate artificial intelligence capabilities into business and mission systems.
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What is Ransomware?
September 11, 2019 • Video
Ritwik Gupta and Elli Kanal explain what ransomware is, what it can do to your computer, and how you can help prevent infections using the concept of cyber hygiene.
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Machine Learning in Cybersecurity: A Guide
September 05, 2019 • Technical Report
Jonathan SpringJoshua FallonApril Galyardt
This report suggests seven key questions that managers and decision makers should ask about machine learning tools to effectively use those tools to solve cybersecurity problems.
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The AADL Error Library
August 29, 2019 • Podcast
Samuel ProcterPeter H. Feiler
Peter Feiler and Sam Procter present the Architecture Analysis and Design Language (AADL) EMV2 Error Library, which is an established taxonomy that draws on a broad range of previous work in classifying system errors.
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Deepfakes—What Can Really Be Done Today?
August 27, 2019 • Video
Rotem D. GuttmanZachary Kurtz
Rotem Guttman and Zach Kurtz explain what deepfakes are, how they work, and what kind of content it’s possible to create with current techniques and technology.
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Automating Alert Handling Reduces Manual Effort
August 23, 2019 • Video
Lori Flynn
To make alert handling more efficient, the SEI developed and tested novel software that enables the rapid deployment of a method to classify alerts automatically and accurately.
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