The October 23 virtual workshop will feature presentations on dataset generation, exploration, preparation, and testing for ensuring data quality when training AI systems.
Walsh, M., Schulker, D., Ross, D., and Cortese, D., 2024: Cyber-Physical Sensing to Extend the National Intelligence, Surveillance, and Reconnaissance Mesh. Carnegie ...
DeCapria, D., 2024: Introduction to MLOps: Bridging Machine Learning and Operations. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Klieber, W., and Flynn, L., 2024: Evaluating Static Analysis Alerts with LLMs. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Ozkaya, I., and Schmidt, D., 2024: Generative AI and Software Engineering Education. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Robinson, K., and Turri, V., 2024: Auditing Bias in Large Language Models. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Sherman, M., 2024: Using ChatGPT to Analyze Your Code? Not So Fast. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 15 ...
Wassermann, G., and Svoboda, D., 2023: Rust Vulnerability Analysis and Maturity Challenges. Carnegie Mellon University, Software Engineering Institute's Insights ...
Morrow, T., and Nicolai, M., 2022: The Zero Trust Journey: 4 Phases of Implementation. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
This report describes the TSP and how it was developed. Starting with a brief background discussion of software quality, the report provides an overview of the basic elements of teamwork. The Team ...
Firesmith, D., 2019: System Resilience: What Exactly is it?. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 16, 2025 ...
Ruefle, R., 2024: 10 Lessons in Security Operations and Incident Management. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...