Titlebook: Recommendation Systems in Software Engineering; Martin P. Robillard,Walid Maalej,Thomas Zimmermann Book 2014 Springer-Verlag Berlin Heidel

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Miryung Kim,Na Menggly, we investigate research areas including: . reasoning and automatic theorem proving to synthesize novel knowledge via inference; . automatic planning and simulation, used to speculate over alternative courses of action; . machine learning and data mining, exploited to induce new knowledge from e

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cific software engineering tasks, focusing on the engineering insights required to make effective recommendations. The book is complemented by the webpage rsse.org/book, which includes free supplemental materia978-3-662-52404-6978-3-642-45135-5

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Developer Profiles for Recommendation Systemsnal information, and communication networks. In recommendation systems in software engineering, developer profiles can be used for personalizing recommendations and for recommending developers who can assist with a task. This chapter describes techniques for capturing, representing, storing, and using developer profiles.

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