| 書目名稱 | Recommendation Systems in Software Engineering |
| 編輯 | Martin P. Robillard,Walid Maalej,Thomas Zimmermann |
| 視頻video | http://file.papertrans.cn/825/824115/824115.mp4 |
| 概述 | First book to highlight recommendation systems in high-tech fields in general and in software engineering in particular.Unique focus on systems issues like system architectures, specific applications |
| 圖書封面 |  |
| 描述 | .With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data..This book collects, structures and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. The book is divided into three parts: “Part I – Techniques” introduces basics for building recommenders in software engineering, including techniques for collecting and processing software engineering data, but also for presenting recommendations to users as part of their workflow.?“Part II – Evaluation” summarizes methods and experimental designs for evaluating recommendations in software engineering.?“Part III – Applications” describes needs, issues and solution concepts involved in entire recommendation systems for specific 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 materia |
| 出版日期 | Book 2014 |
| 關(guān)鍵詞 | Code Reuse; Data Mining; Program Transformation; Recommender Systems; Requirements Engineering; Software |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-45135-5 |
| isbn_softcover | 978-3-662-52404-6 |
| isbn_ebook | 978-3-642-45135-5 |
| copyright | Springer-Verlag Berlin Heidelberg 2014 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2026-1-24 00:02
發(fā)表于 2025-3-21 19:18:06
