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Software Engineering for Machine Learning: A Case Study

Software Engineering for Machine Learning: A Case StudySaleema AmershiMicrosoft ResearchRedmond, WA BegelMicrosoft ResearchRedmond, WA BirdMicrosoft ResearchRedmond, WA DeLineMicrosoft ResearchRedmond, WA GallUniversity of ZurichZurich, KamarMicrosoft ResearchRedmond, WA NagappanMicrosoft ResearchRedmond, WA NushiMicrosoft ResearchRedmond, WA ZimmermannMicrosoft ResearchRedmond, WA Recent advances in Machine learning have stim-ulated widespread interest within the Information Technologysector on integrating AI capabilities into Software and goal has forced organizations to evolve their developmentprocesses. We report on a Study that we conducted on observingsoftware teams at microsoft as they develop AI-based applica-tions.

play. 15 years ago, many teams at Microsoft relied heavily on development triads consisting of a program manager (require-ments gathering and scheduling), a developer (programming), and a tester (testing) [6]. These teams’ adoption of DevOps combined the …

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  Engineering, Machine, Software, Scheduling, Microsoft, Learning, Software engineering for machine learning, And scheduling

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