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
Exploring an AI Engineering Body of Knowledge
September 21, 2022 • Webinar
Carol J. SmithMichael Mattarock
In this webcast, Carol Smith, Carrie Gardner, and Michael Mattarock discuss maturing artificial intelligence (AI) practices based on the current body of knowledge from the AI Division.
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Designing Vultron: A Protocol for Multi-Party Coordinated Vulnerability Disclosure (MPCVD)
September 15, 2022 • Special Report
Allen D. Householder
This report proposes a formal protocol specification for MPCVD to improve the interoperability of both CVD and MPCVD processes.
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Software Architecture Patterns for Robustness
September 15, 2022 • Podcast
Rick Kazman
Rick Kazman discusses software architecture patterns and the effect that certain architectural patterns have on quality attributes, such as availability and robustness.
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A Platform-Independent Model for DevSecOps
September 08, 2022 • Podcast
Timothy A. ChickJoseph D. Yankel
Tim Chick and Joe Yankel present a DevSecOps Platform-Independent Model that uses model-based systems engineering (MBSE) to formalize the practices of DevSecOps pipelines and organize relevant guidance.
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Common Sense Guide to Mitigating Insider Threats, Seventh Edition
September 07, 2022 • White Paper
The guide describes 22 best practices for mitigating insider threat based on the CERT Division's continued research and analysis of more than 3,000 insider threat cases.
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Using the Quantum Approximate Optimization Algorithm (QAOA) to Solve Binary-Variable Optimization Problems
August 30, 2022 • Podcast
Jason LarkinDaniel Justice
Jason Larkin and Daniel Justice, researchers in the SEI’s AI Division, discuss a paper outlining their efforts to simulate the performance of Quantum Approximate Optimization Algorithm (QAOA) for the Max-Cut problem.
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