Software Engineering Institute (SEI) Podcast Series

In this podcast from the Carnegie Mellon University Software Engineering Institute, Thomas Podnar and Dustin Updyke, both senior cybersecurity engineers with the SEI's CERT Division, discuss their work to apply machine learning to increase the realism of non-player characters (NPCs) in cyber training exercises.

In this podcast from the Carnegie Mellon University Software Engineering Institute, Douglass Post and Richard Kendall, authors of "Creating and Using Virtual Prototyping Software: Principles and Practices" discuss with principal researcher Suzanne Miller experiences and insights that they gleaned from applying virtual prototyping in CREATE (Computational Research and Engineering Acquisition Tools...

In this podcast from the Carnegie Mellon University Software Engineering Institute, visiting scientist Rick Kazman and principal researcher Suzanne Miller discuss software architecture patterns and the effect that certain architectural patterns have on quality attributes, such as availability and robustness. Kazman also provides examples of mechanisms—such as architectural tactics and patterns—and...

DevSecOps encompasses all the best software engineering principles known today with an emphasis on faster delivery through increased collaboration of all stakeholders resulting in more secure, useable, and higher-quality software systems. In this podcast from the Carnegie Mellon University Software Engineering Institute, researchers Tim Chick and Joe Yankel present a DevSecOps Platform-Independent...

In this podcast from the Carnegie Mellon University Software Engineering Institute, Jason Larkin and Daniel Justice, researchers in the SEI's AI Division, discuss a paper outlining their efforts to simulate the performance of Quantum Approximate Optimization Algorithm (QAOA) for the Max-Cut problem and compare it with some of the best classical alternatives, for exact, approximate, and heuristic s...

To ensure trust, artificial intelligence systems need to be built with fairness, accountability, and transparency at each step of the development cycle. In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Smith, a senior research scientist in human machine interaction, and Dustin Updyke, a senior cybersecurity engineering in the SEI's CERT Division, discuss th...

I n this podcast from the Carnegie Mellon University Software Engineering Institute, Shannon Gallagher, a data scientist with SEI's CERT Division, and Dominic Ross, multimedia team lead for the SEI, discuss deepfakes, their exponential growth in recent years, their increasing technical sophistication, and the problems they pose for individuals and organizations. Gallagher and Ross also discuss the...

Digital engineering uses digital tools and representations in the process of developing, sustaining, and maintaining systems, including requirements, design, analysis, implementation, and test. The digital modeling approach is intended to establish an authoritative source of truth for the system, in which discipline-specific views of the system are created using the same model elements. In this po...

Over the past several years, zero trust architecture has emerged as an important topic within the field of cybersecurity. Heightened federal requirements and pandemic-related challenges have accelerated the timeline for zero trust adoption within the federal sector. Private sector organizations are also looking to adopt zero trust to bring their technical infrastructure and processes in line with...

In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Hasan Yasar, technical director, Continuous Deployment of Capability at the SEI, and Jay Palat, interim director of AI for Mission in the SEI's AI Division, discuss how to engineer AI systems with DevSecOps and explore the relationship between MLOps and DevSecOps.

In this p odcast from the Carnegie Mellon University Software Engineering Institute , Jonathan Spring , a senior vulnerability researcher, discusses with Suzanne Miller the findings in a paper he published recently analyzing the number of undiscovered vulnerabilities in information systems . This paper examines the paradigm that the number of undiscovered vulnerabilities is manageably small throug...

As the field of artificial intelligence (AI) has matured, increasingly complex opaque models have been developed and deployed to solve hard problems. Unlike many predecessor models, these models, by the nature of their architecture, are harder to understand and oversee. When such models fail or do not behave as expected or hoped, it can be hard for developers and end-users to pinpoint why or deter...

In this podcast from the Carnegie Mellon University Software Engineering Institute, senior researchers Jerome Hugues and Joe Yankel discuss ModDevOps, an extension of DevSecOps that embraces model-based systems engineering (MBSE) practices and technology. Hugues and Yankel also discuss how making this integration between DevSecOps and MBSE explicit unlocks both the speed of DevSecOps and the risk...

Organizations are turning to DevSecOps to produce code faster and at lower cost, but the reality is that much of the code is actually coming from the software supply chain through code libraries, open source, and third-party components where reuse is rampant. The downside is that this reused code contains defects unknown to the new user, which, in turn, propagate vulnerabilities into new systems....

In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), director Paul Nielsen talks with principal researcher Suzanne Miller about how the advent of smart systems has led to a growing need for effective collaboration and cross-pollination between the disciplines of systems engineering and software engineering.

In this podcast from the Carnegie Mellon University Software Engineering Institute, Gavin Jurecko, who leads the Resilience Diagnostics Team, talks with Katie Stewart about risks associated with the supply chains of the defense industrial base (DIB), and how the SEI works with the U.S. Department of Defense to help secure the DIB supply chain.

In this podcast from the Carnegie Mellon University Software Engineering Institute, Gavin Jurecko, who leads the Resilience Diagnostics Team, talks with Katie Stewart about risks associated with the supply chains of the defense industrial base (DIB), and how the SEI works with the U.S. Department of Defense to help secure the DIB supply chain.

In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Jeffrey Gennari, a senior malware reverse engineer, and Garret Wassermann, a vulnerability analyst, both with the SEI's CERT Division, discuss Kaiju, a series of tools that they have developed that allows for malware analysis and reverse engineering. Kajiu helps analysts take better advantage of Ghidra, the N...

In this SEI Podcast, Anita Carleton, director of the Software Solutions Division at the SEI, and Forrest Shull, lead for defense software acquisition policy research in the Software Solutions Division of the SEI, discuss the recently published SEI-led study Architecting the Future of Software Engineering: A National Agenda for Software Engineering Research & Development . In creating this multi-ye...

In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Smith, a senior research scientist in Human Machine Interaction, and Alexandrea Van Deusen, an assistant design researcher, both with the SEI's AI Division, discuss a recent project in which they helped the Defense Innovation Unit (DIU) of the U.S. Department of Defense develop guidelines for responsible use...

In this SEI Podcast, Nickolas Guertin, a senior systems engineer with the SEI's Software Solutions Division, and Douglas Schmidt, associate provost of research at Vanderbilt University and former chief technical officer at the SEI, discuss strategies for creating architectures for large-scale, complex systems that comprise functions with a wide range of requirements. This is one of the most challe...

Mismatches between the perspectives and practices of the roles involved in the development and fielding of ML systems—data scientists, software engineers, and operations personnel—can affect the ability of systems to achieve their intended missions. In this SEI Podcast, Grace Lewis, a principal researcher and lead for the Tactical and AI-Enabled Systems Initiative, and Ipek Ozkaya, technical direc...

In this SEI Podcast, Mike Konrad, a principal researcher in the SEI's Software Solutions Division, talks with 2020 IEEE Computer Society SEI Watts Humphrey Software Quality Award winner Rajendra Prasad of Accenture about automation and how SEI-developed process improvement methods and tools provided the foundation for his leadership role.

Organic software sustainment organizations within the Department of Defense are expanding beyond their traditional purview of software maintenance into software engineering and development. Instead of repairing and maintaining legacy software in already deployed systems, software sustainment teams must now shift to designing and implementing new software architectures and code. Unfortunately, many...

The global supply chain touches every aspect of our lives, from fuel prices to the availability of computer chips and supermarket products. In out latest podcast, Matt Butkovic, technical director of risk and resilience at Carnegie Mellon University's Software Engineering Institute , discusses with Suzanne Miller the supply chain's silver thread of cyber, specifically how cyber both underpins the...