In this webcast, Dr. Mark Sherman summarizes the results of experiments that were conducted to see if various large language models (LLMs) could correctly identify problems with source code.

The SEI's publication of the Capability Maturity Model for Software (Software CMM) in 1991 changed the view in government and industry about software quality. The model consisted of best practices in ...

Finding and fixing weaknesses and vulnerabilities in source code has been an ongoing challenge. There is a lot of excitement about the ability of large language models (LLMs, e.g., GenAI) to produce ...

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In this webcast, Brett Tucker, Dan Justice, and Matthew Butkovic will discuss the challenges to be expected with the realization of quantum computing capabilities.

Wassermann, G., and Svoboda, D., 2023: Rust Vulnerability Analysis and Maturity Challenges. Carnegie Mellon University, Software Engineering Institute's Insights ...

Bernaciak, C., and Ross, D., 2022: How Easy Is It to Make and Detect a Deepfake?. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...

CERT/CC advisories are now part of the US-CERT National Cyber Awareness System. We provide these advisories, published by year, for historical purposes. This report details the description, impact, ...

Spring, J., 2022: Probably Don’t Rely on EPSS Yet. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 3, 2025, https ...

Shevchenko, N., 2020: An Introduction to Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's Insights (blog ...

Ultra-Large-Scale Systems: The Software Challenge of the Future is the product of a 12-month study of ultra-large-scale (ULS) systems software. The study brought together experts in software and other ...

PSP: A Self-Improvement Process for Software Engineers presents a disciplined process for software engineers and anyone else involved in software development. Most software-development groups have ...