现货 Sharing Data and Models in Software Engineering[9780124172951]

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作者Menzies, Tim ; Kocaguneli, Ekrem ; Turhan, Burak ; Minku, Leandro ; Peters, Fayola

出版社Morgan Kaufmann Publishers

ISBN9780124172951

出版时间2014-12

装帧平装

纸张其他

页数406页

正文语种英语

上书时间2023-04-01

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商品描述: Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects.

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