The SEI Podcast Series presents conversations in software engineering, cybersecurity, and future technologies.
Benefits and Challenges of Model-Based Systems Engineering
Nataliya (Natasha) Shevchenko and Mary Popeck, both senior researchers in the CERT Division at Carnegie Mellon University’s Software Engineering Institute, discuss the use of model-based systems engineering (MBSE), which, in contrast to document-centric engineering, puts models at the center of system design. MBSE is used to support the requirements, design, analysis, verification, and validation associated with the development of complex systems.
Fostering Diversity in Software Engineering
In this SEI Podcast, Grace Lewis hosts a panel discussion with Ipek Ozkaya, Nathan West, and Jay Palat about diversity in software engineering. The panelists, all researchers with the Carnegie Mellon University Software Engineering Institute, share their perspectives about their own experiences in the software engineering field, the value of diversity to enhance problem solving from multiple perspectives, and strategies for supporting and encouraging underrepresented groups to become involved in the field.
Can DevSecOps Make Developers Happier?
Author Daniel H. Pink recently examined factors that lead to job satisfaction among knowledge workers and summarized them in three components: autonomy, skill mastery, and purpose. In this SEI Podcast, Hasan Yasar, technical director of Continuous Deployment of Capability at Carnegie Mellon University’s Software Engineering Institute, summarizes a recent survey affirming that DevSecOps practices do indeed make developers happier.
Is Your Organization Ready for AI?
In this SEI Podcast, digital transformation lead Dr. Rachel Dzombak and research scientist Carol Smith, both with the SEI’s Emerging Technology Center at Carnegie Mellon University, discuss how AI Engineering can support organizations to implement AI systems. The conversation covers the steps that organizations need to take (as well as the hard conversations that need to occur) before they are AI ready.
My Story in Computing with Marisa Midler
In this SEI Podcast, the latest in the My Story in Computing series, Marisa Midler, a cybersecurity engineer in the SEI’s CERT Division, discusses her career path, which included a stint as a bouncer at a Seattle night club, before returning to Carnegie Mellon University to earn a master's degree in information security policy and management. Throughout it all Midler has been guided by her mantra: never settle.
Managing Vulnerabilities in Machine Learning and Artificial Intelligence Systems
In this podcast, Jonathan Spring, Nathan VanHoudnos, and Allen Householder, all researchers at the Carnegie Mellon University Software Engineering Institute, discuss the management of vulnerabilities in ML systems as well as the Adversarial ML Threat Matrix, which aims to close this gap between academic taxonomies and operational concerns.