Robert, J., and Schmidt, D., 2024: 10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition. Carnegie Mellon University, Software ...
Robinson, K., and Turri, V., 2024: Auditing Bias in Large Language Models. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Sible, J., and Svoboda, D., 2022: Rust Software Security: A Current State Assessment. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Gallagher, S., Rallapalli, S., and Brooks, T., 2025: Evaluating LLMs for Text Summarization: An Introduction. Carnegie Mellon University, Software Engineering ...
Ozkaya, I., and O'Hearn, B., 2024: 5 Recommendations to Help Your Organization Manage Technical Debt. Carnegie Mellon University, Software Engineering Institute's ...
This report describes in detail what the PSP is and how it works. Starting with a brief discussion of the relationship of the PSP to general quality principles, the report describes how the PSP was ...
Ozkaya, I., and Schmidt, D., 2024: Generative AI and Software Engineering Education. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
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 ...
Nicolai, M., Richmond, N., and Morrow, T., 2023: 5 Best Practices from Industry for Implementing a Zero Trust Architecture. Carnegie Mellon University, Software ...
Ruefle, R., 2024: 10 Lessons in Security Operations and Incident Management. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Woody, C., 2024: Applying the SEI SBOM Framework. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 3, 2025, https://doi ...
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