Recommendation Systems in Software Engineering (Record no. 57381)

000 -LEADER
fixed length control field 04631nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-642-45135-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112221.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140430s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642451355
-- 978-3-642-45135-5
082 04 - CLASSIFICATION NUMBER
Call Number 005.1
245 10 - TITLE STATEMENT
Title Recommendation Systems in Software Engineering
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 562 p. 109 illus.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 1 An Introduction to Recommendation Systems in Software Engineering -- Part I Techniques -- 2 Basic Approaches in Recommendation Systems -- 3 Data Mining -- 4 Recommendation Systems in-the-Small -- 5 Source Code Based Recommendation Systems -- 6 Mining Bug Data -- 7 Collecting and Processing Interaction Data for Recommendation Systems -- 8 Developer Profiles for Recommendation Systems -- 9 Recommendation Delivery -- Part II Evaluation -- 10 Dimensions and Metrics for Evaluating Recommendation Systems -- 11 Benchmarking -- 12 Simulation -- 13 Field Studies -- Part III Applications -- 14 Reuse-Oriented Code Recommendation Systems -- 15 Recommending Refactoring Operations in Large Software Systems -- 16 Recommending Program Transformations -- 17 Recommendation Systems in Requirements Discovery -- 18 Changes, Evolution and Bugs -- 19 Recommendation Heuristics for Improving Product Line Configuration Processes.
520 ## - SUMMARY, ETC.
Summary, etc 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. The book is particularly well-suited for graduate students and researchers building new recommendation systems for software engineering applications or in other high-tech fields. It may also serve as the basis for graduate courses on recommendation systems, applied data mining, or software engineering. Software engineering practitioners developing recommendation systems or similar applications with predictive functionality will also benefit from the broad spectrum of topics covered.
700 1# - AUTHOR 2
Author 2 Robillard, Martin P.
700 1# - AUTHOR 2
Author 2 Maalej, Walid.
700 1# - AUTHOR 2
Author 2 Walker, Robert J.
700 1# - AUTHOR 2
Author 2 Zimmermann, Thomas.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-45135-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2014.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Software engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information storage and retrieval.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Management information systems.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Software Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Management of Computing and Information Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Storage and Retrieval.
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-- ZDB-2-SCS

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