Software Engineering Institute (SEI) Podcast Series podcast

Software Engineering Institute (SEI) Podcast Series

Members of Technical Staff at the Software Engineering Institute

The SEI Podcast Series presents conversations in software engineering, cybersecurity, and future technologies.

357 Episódios

  • Software Engineering Institute (SEI) Podcast Series podcast

    Measuring DevSecOps: The Way Forward

    39:32

    In this SEI Podcast, Bill Nichols and Hasan Yasar, both with the Carnegie Mellon University Software Engineering Institute, discuss DevSecOps metrics with Suzanne Miller. DevSecOps practices, made possible by improvements in underlying technology that automate the development-to-production pipeline, can generate more information about development and operational performance than has ever been readily available before. Nichols and Yasar discuss the ways in which DevSecOps practices yield valuable information about software performance that is likely to lead to innovations in software engineering metrics.
  • Software Engineering Institute (SEI) Podcast Series podcast

    Bias in AI: Impact, Challenges, and Opportunities

    24:58

    In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Smith, a senior research scientist in human-machine interaction, and Jonathan Spring, a senior vulnerability researcher, discuss the hidden sources of bias in artificial intelligence (AI) systems and how systems developers can raise their awareness of bias, mitigate consequences, and reduce risks.
  • Software Engineering Institute (SEI) Podcast Series podcast

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  • Software Engineering Institute (SEI) Podcast Series podcast

    My Story in Computing with Rachel Dzombak

    35:04

    In this SEI Podcast in the “My Story in Computing” series, Rachel Dzombak discusses her journey integrating biomedical, mechanical, and civil engineering to her current leadership role at the SEI as digital transformation lead in artificial-intelligence (AI) engineering.
  • Software Engineering Institute (SEI) Podcast Series podcast

    Agile Strategic Planning: Concepts and Methods for Success

    29:50

    The rapid pace of change in software development, in business, and in the world has many organizations struggling to execute daily operations, wrangle big projects, and feel confident that there is a long-term strategy at play. Incorporating agile principles into strategic planning and execution is a highly effective way to drive strategy development, strategy execution, data-driven decision making, and results. In this SEI Podcast, Linda Parker Gates, initiative lead, Software Acquisition Pathways, and Suzanne Miller, principal researcher in the SEI’s Software Solutions Division, discuss the principles of Agile Strategic Planning and methods for success.
  • Software Engineering Institute (SEI) Podcast Series podcast

    Applying Scientific Methods in Cybersecurity

    39:49

    In this SEI Podcast, Dr. Leigh Metcalf and Dr. Jonathan Spring, both researchers with the Carnegie Mellon University Software Engineering Institute’s CERT Division, discuss the application of scientific methods to cybersecurity. As described in their recently published book, Using Science in Cybersecurity, Metcalf and Spring describe a common-sense approach and practical tools for applying scientific rigor to the field of cybersecurity.
  • Software Engineering Institute (SEI) Podcast Series podcast

    Zero Trust Adoption: Benefits, Applications, and Resources

    30:25

    Zero trust adoption is a security initiative that an enterprise must understand, interpret, and implement. Enterprise security initiatives are never simple, and their goal to improve cybersecurity posture requires the alignment of multiple stakeholders, systems, acquisitions, and exponentially changing technology. This alignment is always a complex undertaking and requires cybersecurity strategy and engineering to succeed. In this SEI Podcast, Geoff Sanders, a senior network defense analyst in the CERT Division at Carnegie Mellon University's Software Engineering Institute, discusses zero trust adoption and its benefits, applications, and available resources.
  • Software Engineering Institute (SEI) Podcast Series podcast

    Uncertainty Quantification in Machine Learning: Measuring Confidence in Predictions

    31:40

    In this SEI Podcast, Dr. Eric Heim, a senior machine learning research scientist at Carnegie Mellon University's Software Engineering Institute (SEI), discusses the quantification of uncertainty in machine-learning (ML) systems. ML systems can make wrong predictions and give inaccurate estimates for the uncertainty of their predictions. It can be difficult to predict when their predictions will be wrong. Heim also discusses new techniques to quantify uncertainty, identify causes of uncertainty, and efficiently update ML models to reduce uncertainty in their predictions. The work of Heim and colleagues at the SEI Emerging Technology Center closes the gap between the scientific and mathematical advances from the ML research community and the practitioners who use the systems in real-life contexts, such as software engineers, software developers, data scientists, and system developers.  
  • Software Engineering Institute (SEI) Podcast Series podcast

    11 Rules for Ensuring a Security Model with AADL and Bell–LaPadula

    48:05

    In this SEI Podcast, Aaron Greenhouse, a senior architecture researcher with Carnegie Mellon University’s Software Engineering Institute, talks with principal researcher Suzanne Miller about use of the Bell–LaPadula mathematical security model in concert with the Architecture Analysis and Design Language (AADL) to model and validate confidentiality. Greenhouse and Miller also discuss 11 analysis rules that must be enforced over an AADL instance to ensure the consistency of a security model. Mapping Bell–LaPadula to AADL allows the expression of key concepts within the AADL model so that they can be analyzed automatically.   
  • Software Engineering Institute (SEI) Podcast Series podcast

    Benefits and Challenges of Model-Based Systems Engineering

    33:10

    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.
  • Software Engineering Institute (SEI) Podcast Series podcast

    Fostering Diversity in Software Engineering

    29:21

    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.

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