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.
Capturing the Expertise of Cybersecurity Incident Handlers
Toward Speed and Simplicity: Creating a Software Library for Graph Analytics
Improving Quality Using Architecture Fault Analysis with Confidence Arguments
A Taxonomy of Testing Types
Reducing Complexity in Software & Systems
Designing Security Into Software-Reliant Systems
Agile Methods in Air Force Sustainment
Defect Prioritization With the Risk Priority Number
SEI-HCII Collaboration Explores Context-Aware Computing for Soldiers
An Introduction to Context-Aware Computing
Data Driven Software Assurance
Applying Agile in the DoD: Twelfth Principle
Supply Chain Risk Management: Managing Third Party and External Dependency Risk
Introduction to the Mission Thread Workshop
Applying Agile in the DoD: Eleventh Principle
A Workshop on Measuring What Matters
Applying Agile in the DoD: Tenth Principle
Predicting Software Assurance Using Quality and Reliability Measures
Applying Agile in the DoD: Ninth Principle
Cyber Insurance and Its Role in Mitigating Cybersecurity Risk
Create your
podcast in
minutes
It is Free