Software Engineering for Machine Learning
• Podcast
Publisher
Software Engineering Institute
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Abstract
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 director of Engineering Intelligent Software Systems, discuss their research into characterizing, codifying, and mitigating such mismatches.
About the Speaker
Grace Lewis
Grace Lewis is a Principal Researcher at the Carnegie Mellon Software Engineering Institute (SEI), where she conducts applied research on how software engineering and software architecture principles, practices, and tools need to evolve in the face of emerging technologies. She is the principal investigator for the Automating Mismatch Detection and …
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Ipek Ozkaya
Ipek Ozkaya is a principal researcher and the technical director of the Engineering Intelligent Software Systems group at the SEI. Ozkaya’s primary interests include developing techniques for improving software development efficiency and system evolution with an emphasis on software architecture practices, software economics, and agile development. Ozkaya’s most recent research …
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