Software quality assessments identify risk, allowing for mitigation strategies that ensure secure code in safety-critical defense platforms. But standard static analysis tools can miss risks or ...

Nielsen, P. (2026, June 23). Software-Defined Warfare: Crossing the Chasm in Two Software Areas. Retrieved June 24, 2026, from https://doi.org/10.58012/9wg2-8778 ...

Brown, R. (2026, June 16). Implementing Zero Trust in Operational Technology: A Practical Case Study. Retrieved July 1, 2026, from https://doi.org/10.58012/6eyx-5204 ...

Organizations achieve lasting AI value and return on investment (ROI) through discipline—not just speed. True AI maturity is not measured by how much AI an organization deploys, but by its ability to ...

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 ...

Svoboda, D., 2026: The SEI CERT Coding Standard for Fortran. Software Engineering Institute blog, Accessed July 1, 2026, https://doi.org/10.58012/w9t7-6y96. This blog ...

This podcast presents the Evaluation Large Language Models library, which turns evaluation from an ad-hoc process into a repeatable, extensible framework. Experimentation and validation of LLM ...

Experts from the CMU SEI and Accenture share technical insights and lessons learned from maturing AI adoption in complex environments. Many organizations are discovering, as they accelerate adoption ...

Fast-evolving advances in artificial intelligence (AI)—particularly in generative AI technologies and agentic AI implementations—have challenged organizations to rethink how they conduct business. To ...

While use of AI in developing and maintaining software is increasing globally, this use is relatively new, and proven practices for using AI effectively are still emerging. There are different ways to ...