Software Engineering for Machine Learning: A Case Study

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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.

software teams at Microsoft as they develop AI-based applica-tions. We consider a nine-stage workflow process informed by prior experiences developing AI applications (e.g., search and NLP) and data science tools (e.g. application diagnostics and bug reporting). We found that various Microsoft teams have united

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