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.
Distributed Artificial Intelligence in Space
Verifying Distributed Adaptive Real-Time Systems
10 At-Risk Emerging Technologies
Technical Debt as a Core Software Engineering Practice
DNS Best Practices
Three Roles and Three Failure Patterns of Software Architects
Security Modeling Tools
Best Practices for Preventing and Responding to Distributed Denial of Service (DDoS) Attacks
Cyber Security Engineering for Software and Systems Assurance
Moving Target Defense
Improving Cybersecurity Through Cyber Intelligence
A Requirement Specification Language for AADL
Becoming a CISO: Formal and Informal Requirements
Predicting Quality Assurance with Software Metrics and Security Methods
Network Flow and Beyond
A Community College Curriculum for Secure Software Development
Security and the Internet of Things
The SEI Fellow Series: Nancy Mead
An Open Source Tool for Fault Tree Analysis
Global Value Chain – An Expanded View of the ICT Supply Chain
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