The guide is the first release in the Software Acquisition Go Bag series of resources for defense software programs seeking to advance acquisition practices.
Organizations can use the maturity model to establish a baseline for adopting artificial intelligence and roadmap future investments, according to a new SEI paper.
This podcast explores radio frequency attacks, such as those conducted by APT28, and how software and cybersecurity play key roles in preventing and mitigating these exploitations.
Tobar, D., Jamieson, J., Priest, M., and Fricke, J., 2025: 7 Recommendations to Improve SBOM Quality. Carnegie Mellon University, Software Engineering Institute's ...
Artificial Intelligence (AI) holds the promise of reducing insider risk incidents, but it comes with a unique set of challenges. This paper outlines the potential pitfalls of leveraging AI for insider ...
DeCapria, D., 2024: Introduction to MLOps: Bridging Machine Learning and Operations. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Shevchenko, N., 2024: An Introduction to Model-Based Systems Engineering (MBSE). 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 ...
Svoboda, D., 2024: What Recent Vulnerabilities Mean to Rust. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed December 3, 2025 ...
Schmidt, D., and Robert, J., 2024: Applying Large Language Models to DoD Software Acquisition: An Initial Experiment. 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 ...
Robert, J., and Schmidt, D., 2024: 10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition. Carnegie Mellon University, Software ...
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