Lewis, G., Brower-Sinning, R., Derr, A., Ozkaya, I., and Echeverría, S., 2026: A Quality Model for Machine Learning Components. Software Engineering Institute blog ...
McIlvenny, J. (2026, July 14). A Guide to the Convergence of Electronic Warfare and Cyber Operations. Retrieved July 20, 2026, from https://doi.org/10.58012/ssy8-4t48 ...
Svoboda, D., 2026: The SEI CERT Coding Standard for Fortran. Software Engineering Institute blog, Accessed July 22, 2026, https://doi.org/10.58012/w9t7-6y96. This ...
PITTSBURGH, Pa., June 8, 2026—The Carnegie Mellon University Software Engineering Institute (SEI) and Accenture today released the Artificial Intelligence (AI) Adoption Maturity Model, an empirically ...
Rosso-Llopart, M., 2026: Managing Architectural Risk During Agile Development. Software Engineering Institute blog, Accessed July 22, 2026, https://doi.org/10.58012 ...
Turri, V., Schieber, N., Loughin, C., and Brooks, T., 2026: The ELM Library: An LLM Evaluation Toolset. Software Engineering Institute blog, Accessed July 24, 2026 ...
Chick, T., Frye, B., and Reffett, A., 2025: The DevSecOps Capability Maturity Model. Software Engineering Institute blog, Accessed July 23, 2026, https://doi.org/10. ...
Touhill, G., 2024: The Top 10 Skills CISOs Need in 2024. Software Engineering Institute blog, Accessed July 23, 2026, https://doi.org/10.58012/tphr-nz17. The role of ...
Costa, D., and Trzeciak, R., 2023: The 13 Key Elements of an Insider Threat Program. Software Engineering Institute blog, Accessed July 22, 2026, https://doi.org/10. ...
Technical debt is a widely recognized software engineering concern that refers to the tradeoff between the short-term benefits of rapid delivery and the long-term value of developing a software system ...
Kazman, R., 2022: Tactics and Patterns for Software Robustness. Software Engineering Institute blog, Accessed July 23, 2026, https://www.sei.cmu.edu/blog/tactics-and ...
Consider a production line in which workers run heavy, potentially dangerous equipment to manufacture steel tubing. Company executives hire a team of machine learning (ML) practitioners to develop an ...
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