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.
Adapting the PSP to Incorporate Verified Design by Contract
Comparing IT Risk Assessment and Analysis Methods
AADL and Aerospace
Assuring Open Source Software
Security Pattern Assurance through Roundtrip Engineering
The Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2)
Applying Agile in the DoD: Fifth Principle
Software Assurance Cases
Raising the Bar - Mainstreaming CERT C Secure Coding Rules
AADL and Télécom Paris Tech
From Process to Performance-Based Improvement
An Approach to Managing the Software Engineering Challenges of Big Data
Using the Cyber Resilience Review to Help Critical Infrastructures Better Manage Operational Resilience
Situational Awareness Mashups
Applying Agile in the DoD: Fourth Principle
Architecting Systems of the Future
Acquisition Archetypes
Human-in-the-Loop Autonomy
Mobile Applications for Emergency Managers
Why Use Maturity Models to Improve Cybersecurity: Key Concepts, Principles, and Definitions
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