This podcast explores updates to the Pointer Ownership Model for C, a modeling framework designed to improve the ability of developers to statically analyze C programs for errors involving temporal ...
Sible, J., and Svoboda, D., 2022: Rust Software Security: A Current State Assessment. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Sarvepalli, V., 2023: UEFI: 5 Recommendations for Securing and Restoring Trust. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
DeCapria, D., 2025: DataOps: Towards More Reliable Machine Learning Systems. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
March 13, 2025—Secretary of Defense Pete Hegseth has directed all Department of Defense (DoD) components to adopt the Software Acquisition Pathway (SWP) as “the preferred pathway for all software ...
Derr, A., Echeverría, S., Maffey, K., and Lewis, G., 2025: Introducing MLTE: A Systems Approach to Machine Learning Test and Evaluation. Carnegie Mellon University ...
Software analysts use static analysis as a standard method to evaluate the source code for potential vulnerabilities, but the volume of findings is often too large to review in their entirety, causing ...
Ozkaya, I., and Schmidt, D., 2024: Generative AI and Software Engineering Education. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Schmidt, D., and Robert, J., 2024: Applying Large Language Models to DoD Software Acquisition: An Initial Experiment. Carnegie Mellon University, Software Engineering ...
Yankel, J., 2024: Example Case: Using DevSecOps to Redefine Minimum Viable Product. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Ruefle, R., 2024: 10 Lessons in Security Operations and Incident Management. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
Generative artificial intelligence (AI) and large language models (LLMs) have taken the world by storm. The ability of LLMs to perform tasks seemingly on par with humans has led to rapid adoption in a ...