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.
An Open Source Tool for Fault Tree Analysis
Global Value Chain – An Expanded View of the ICT Supply Chain
Intelligence Preparation for Operational Resilience
Evolving Air Force Intelligence with Agile Techniques
Threat Modeling and the Internet of Things
Open Systems Architectures: When & Where to Be Closed
Effective Reduction of Avoidable Complexity in Embedded Systems
Toward Efficient and Effective Software Sustainment
Quality Attribute Refinement and Allocation
Is Java More Secure Than C?
Identifying the Architectural Roots of Vulnerabilities
Build Security In Maturity Model (BSIMM) – Practices from Seventy Eight Organizations
An Interview with Grady Booch
Structuring the Chief Information Security Officer Organization
How Cyber Insurance Is Driving Risk and Technology Management
A Field Study of Technical Debt
How the University of Pittsburgh Is Using the NIST Cybersecurity Framework
A Software Assurance Curriculum for Future Engineers
Four Types of Shift Left Testing
Capturing the Expertise of Cybersecurity Incident Handlers
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