Carnegie Mellon University Software Engineering Institute

Carnegie Mellon University Software Engineering Institute The SEI is a federally funded research and development center (FFRDC).

Register for "Rethinking and Maturing AI Adoption" on June 9, 1:30 p.m. ET.In this webcast, experts from the Software En...
05/29/2026

Register for "Rethinking and Maturing AI Adoption" on June 9, 1:30 p.m. ET.

In this webcast, experts from the Software Engineering Institute at Carnegie Mellon University and Accenture will share technical insights and lessons learned from maturing AI adoption in complex environments. They will demonstrate how a nimble assessment instrument such as the road-tested AI Adoption Maturity Model fills critical gaps faced by organizations adopting AI.

The panel of speakers include Anita Carleton, John Haller, Ipek Ozkaya, Tony Leraris, Majd Sakr, Kaveh Safavi, and Rajendra Prasad (RP) -

Experts from the CMU SEI and Accenture share technical insights and lessons learned from maturing AI adoption in complex environments.

Detect and respond to ML drift before it causes harm. Our latest SEI Blog post explores what causes drift and how to ide...
05/28/2026

Detect and respond to ML drift before it causes harm. Our latest SEI Blog post explores what causes drift and how to identify it early -

Measures need to detect and respond to drift in ML systems before real-world harms are enacted. This post describes what causes drift and how to detect it.

A new SEI Blog post details an approach that draws from Agile Architecture Risk Management (AARM) and Continuous Risk Ma...
05/27/2026

A new SEI Blog post details an approach that draws from Agile Architecture Risk Management (AARM) and Continuous Risk Management (CRM) to create a practice for evaluating software architecture risks early in development -

By weighing the tradeoffs between design pattern attributes and quality attributes, software developers can identify architectural risks early and assess the system impacts of design decisions.

Today at 1:30 p.m. ET - In the free SEI webcast "AI-Native Software Engineering: Enduring Principles, New Pace," Scott S...
05/21/2026

Today at 1:30 p.m. ET - In the free SEI webcast "AI-Native Software Engineering: Enduring Principles, New Pace," Scott Sinclair, James Ivers, and Mario Benitez discuss their observations and lessons from applying AI-native software engineering and studying its use across multiple projects.

SEI researchers discuss observations from their application of AI-native SW engineering and the study of its use across multiple industries.

Join us at 1 p.m. ET today for Software Acquisition Go Bag: Pack Light, Measure RightIn this webcast, Eileen Wrubel, Chr...
05/18/2026

Join us at 1 p.m. ET today for Software Acquisition Go Bag: Pack Light, Measure Right

In this webcast, Eileen Wrubel, Christina Rhylander, Julie B. Cohen, and Aaron Reffett discuss the why, what, and how behind metrics that will enable your team to move from “just collecting data” to using metrics that enable better decision making, improve program outcomes, and deliver mission value -

We discuss the why, what, and how behind metrics that will enable your team to move from “just collecting data" to delivering value.

AI is enabling developers to move from idea to implementation at incredible speeds. However, this fast pace has implicat...
05/15/2026

AI is enabling developers to move from idea to implementation at incredible speeds. However, this fast pace has implications that teams must manage. Product quality does not come for free, and AI can accelerate the accumulation of technical debt. In addition, what works well on small code bases doesn't always work as well on large ones.

So, what's a good software engineer to do?

AI is rapidly changing how software is produced but not the need to engineer software to meet business and mission goals. Software engineering principles and practices are essential in guiding software engineers to use AI to achieve production-ready outcomes.

In the free May 21 webcast "AI-Native Software Engineering: Enduring Principles, New Pace," Scott Sinclair, James Ivers, and Mario Benitez discuss their observations and lessons from applying AI-native software engineering and studying its use across multiple projects.

SEI researchers discuss observations from their application of AI-native SW engineering and the study of its use across multiple industries.

A New CERT Vulnerability Note: dnsmasq contains several vulnerabilities, including attacker DNS redirect, privilege esca...
05/13/2026

A New CERT Vulnerability Note: dnsmasq contains several vulnerabilities, including attacker DNS redirect, privilege escalation, and heap manipulation - https://kb.cert.org/vuls/id/471747

Our latest post out of the AI Division details the Expanding Large Language Model Metrics (ELM) library, which is built ...
05/08/2026

Our latest post out of the AI Division details the Expanding Large Language Model Metrics (ELM) library, which is built on best practices for LLM evaluation and benchmarking -

To help teams meet the need for rigorous evaluation methods, researchers in SEI’s AI Division developed a library built on best practices for LLM evaluation and benchmarking.

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