To better understand the potential uses of large language models (LLMs) and their impact, a team of researchers at the Carnegie Mellon University Software Engineering Institute CERT Division conducted four in-depth case studies. The case studies span multiple domains and call for vastly different capabilities. In this podcast, Matthew Walsh, a senior data scientist in CERT, and Dominic Ross, Multi-Media Design Team lead, discuss their work in developing the four case studies as well as limitations and future uses of ChatGPT.
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The Fundamentals of Agile
Software for Soldiers who use Smartphones
Managing Disruptive Events: Making the Case for Operational Resilience
Architecting Service-Oriented Systems
The SEI Strategic Plan
Quantifying Uncertainty in Early Lifecycle Cost Estimation
Using Network Flow Data to Profile Your Network and Reduce Vulnerabilities
Architecting a Financial System with TSP
The Importance of Data Quality
How to More Effectively Manage Vulnerabilities and the Attacks that Exploit Them
Misaligned Incentives
How a Disciplined Process Enhances & Enables Agility
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An Architecture-Focused Measurement Framework for Managing Technical Debt
Cloud Computing for the Battlefield
U.S. Postal Inspection Service Use of the CERT Resilience Management Model
Insights from the First CERT Resilience Management Model Users Group
NIST Catalog of Security and Privacy Controls, Including Insider Threat
Cisco's Adoption of CERT Secure Coding Standards
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