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.
Benitez Preciado, M., 2023: Software Isolation: Why It Matters to Software Evolution and Why Everybody Puts It Off. Carnegie Mellon University, Software Engineering ...
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.
Sible, J., and Svoboda, D., 2022: Rust Software Security: A Current State Assessment. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Wassermann, G., and Svoboda, D., 2023: Rust Vulnerability Analysis and Maturity Challenges. Carnegie Mellon University, Software Engineering Institute's Insights ...
Scanlon, T., 2018: 10 Types of Application Security Testing Tools: When and How to Use Them. Carnegie Mellon University, Software Engineering Institute's Insights ...
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 ...
Dormann, W., 2018: When "ASLR" Is Not Really ASLR - The Case of Incorrect Assumptions and Bad Defaults. Carnegie Mellon University, Software Engineering Institute's ...