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Recommendation Systems in Software Engineering

Recommendation Systems in Software Engineering

Hardcover

Business GeneralProgrammingSystem Administration

ISBN10: 3642451349
ISBN13: 9783642451348
Publisher: Springer Nature
Published: May 14 2014
Pages: 562
Weight: 2.16
Height: 1.25 Width: 6.14 Depth: 9.21
Language: English

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 materials for readers of this book and anyone interested in recommendation systems in software engineering, including lecture slides, data sets, source code, and an overview of people, groups, papers and tools with regard to recommendation systems in software engineering.

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