Archive: 2022
Top 10 Blog Posts of 2021
In this blog post, we present the 10 most-visited posts published between January 1, 2021, and December 31, 2021.
Read More•By Douglas Schmidt (Vanderbilt University)
What is Explainable AI?
Explainable artificial intelligence is a powerful tool in answering critical How? and Why? questions about AI systems and can be used to address rising ethical and legal concerns.
Read More•By Violet Turri
In Artificial Intelligence Engineering
How Do You Trust AI Cybersecurity Devices?
AI and ML cybersecurity devices are gaining traction, but efficacy testing has not kept up. We are seeking input on our test environment for these devices.
Read More•By Grant Deffenbaugh, Shing-hon Lau
In Cybersecurity Engineering
A Cybersecurity Engineering Strategy for DevSecOps that Integrates with the Software Supply Chain
Reused code contains defects unknown to the new user, which, in turn, propagate vulnerabilities into new systems. Organizations must develop a cybersecurity engineering strategy that addresses the integration of DevSecOps …
Read More•By Carol Woody
In Cybersecurity Engineering
Six Acquisition Pathways for Large-Scale, Complex Systems
How to map technical reference frameworks (TRFs) to the pathways that compose the DoD’s Adaptive Acquisition Framework (AAF)
Read More•By Douglas Schmidt (Vanderbilt University), Nickolas Guertin
In Software Architecture
Two Categories of Architecture Patterns for Deployability
This post, excerpted from the fourth edition of Software Architecture in Practice, discusses deployability and describes two categories of associated architecture patterns.
Read More•By Rick Kazman
In Software Architecture
A Hitchhiker’s Guide to ML Training Infrastructure
Hardware is a key enabler for machine learning. Recent advances in the field, including the introduction of graphics processing units, have had a significant impact on the training of AI …
Read More•By Jay Palat
In Artificial Intelligence Engineering
The Latest Work from the SEI: The Future of Software Engineering, Ethical AI, Cloud Adoption, and Machine Learning
This blog post summarizes some recent publications from the SEI in the areas of machine learning, ethical artificial intelligence, cloud adoption, and mixed-criticality systems.
Read More•By Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
A Model-Based Tool to Assist in the Design of Safety-Critical Systems
The design of critical systems—those used in aircraft, medical devices, etc.—is becoming increasingly challenging as they increase in sophistication and complexity.
Read More•By Sam Procter
In Software Architecture
How Easy Is It to Make and Detect a Deepfake?
The technology underlying the creation and detection of deepfakes and assessment of current and future threat levels
Read More•By Catherine Bernaciak, Dominic A. Ross
In Artificial Intelligence Engineering
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