Dempsey, C., and Hugues, J., 2025: A Model-Based Approach for Software Acquisition. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Tobar, D., Jamieson, J., Priest, M., and Fricke, J., 2025: 7 Recommendations to Improve SBOM Quality. Carnegie Mellon University, Software Engineering Institute's ...
Carleton, A., Ivers, J., Ozkaya, I., Robert, J., Schmidt, D., and Zhang, S., 2025: Perspectives on Generative AI in Software Engineering and Acquisition. Carnegie ...
DeCapria, D., 2024: Introduction to MLOps: Bridging Machine Learning and Operations. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Ozkaya, I., and Schmidt, D., 2024: Generative AI and Software Engineering Education. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
This report describes 11 common vulnerabilities and 3 risks related to application programming interfaces, providing suggestions about how to fix or reduce their impact. Application programming ...
Schmidt, D., and Robert, J., 2024: Applying Large Language Models to DoD Software Acquisition: An Initial Experiment. Carnegie Mellon University, Software Engineering ...
Sherman, M., 2024: Using ChatGPT to Analyze Your Code? Not So Fast. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed December 11 ...
Robert, J., and Schmidt, D., 2024: 10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition. Carnegie Mellon University, Software ...
Wilson, S., Place, P., and Korzec, K., 2023: The Seven Virtues of Reconciling Agile and Earned Value Management (EVM). Carnegie Mellon University, Software ...
Churilla, M., VanHoudnos, N., and Beveridge, R., 2023: The Challenge of Adversarial Machine Learning. Carnegie Mellon University, Software Engineering Institute's ...
Benitez Preciado, M., 2023: Software Isolation: Why It Matters to Software Evolution and Why Everybody Puts It Off. Carnegie Mellon University, Software Engineering ...