Software Engineering Research and Development
Blog Posts
The Latest Work from the SEI: an OpenAI Collaboration, Generative AI, and Zero Trust
This post highlights the latest work from the SEI in the areas of generative AI, zero trust, large language models, and quantum computing.
• By Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
Applying the SEI SBOM Framework
This SEI Blog post examines ways you can leverage your software bill of materials (SBOM) data, using the SEI SBOM Framework, to improve your software security and inform your supply …
• By Carol Woody
In Software Engineering Research and Development
10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition
This post presents 10 benefits and 10 challenges of applying LLMs to the software acquisition process and suggests specific use cases where generative AI can provide value.
• By John E. Robert, Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
The Latest Work from the SEI
This SEI Blog post summarizes some recent publications from the SEI in the areas of supply chain risk management, technical debt, large language models, quantum computing, acquisition, and trustworthiness in …
• By Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
The Top 10 Blog Posts of 2023
Every January on the SEI Blog, we present the 10 most-visited posts of the previous year. This year’s top 10 highlights our work in zero trust, large language models, DevSecOps, …
• By Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
Applying Generative AI to Software Engineering: Navigating Ethical and Educational Landscapes
The post explores the application of generative AI in software engineering with an emphasis on the ethical and educational landscapes.
• By John E. Robert, Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
Application of Large Language Models (LLMs) in Software Engineering: Overblown Hype or Disruptive Change?
This blog post explores large language models (LLMs) in software development, implications of incorporating LLMs into software-reliant systems, and areas where more research is needed to advance their use in …
• By Ipek Ozkaya, Anita Carleton, John E. Robert, Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
Synergy Among Engineering Disciplines: Software, Cybersecurity, and AI
This post reviews the origins and interactions of the software, cybersecurity, and AI engineering disciplines and posits how their interrelationships would contribute to the intelligent systems of the future.
• By Paul Nielsen
In Software Engineering Research and Development
Product Management’s Role in Software: A Fool’s Game or an Evolving Adventure?
Understanding the origins and intentions behind software product management is a key enabler to success.
• By Judy Hwang
In Software Engineering Research and Development
The Latest Work from the SEI: Rust, DevSecOps, AI, and Penetration Testing
Learn more about the SEI's latest work in penetration testing, model-based design for cyber-physical systems, UEFI, and DevSecOps.
• By Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development