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Recommendation Systems in Software Engineering

Overview of attention for book
Cover of 'Recommendation Systems in Software Engineering'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 An Introduction to Recommendation Systems in Software Engineering
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    Chapter 2 Basic Approaches in Recommendation Systems
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    Chapter 3 Data Mining
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    Chapter 4 Recommendation Systems in-the-Small
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    Chapter 5 Source Code-Based Recommendation Systems
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    Chapter 6 Mining Bug Data
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    Chapter 7 Collecting and Processing Interaction Data for Recommendation Systems
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    Chapter 8 Developer Profiles for Recommendation Systems
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    Chapter 9 Recommendation Delivery
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    Chapter 10 Dimensions and Metrics for Evaluating Recommendation Systems
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    Chapter 11 Benchmarking
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    Chapter 12 Simulation
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    Chapter 13 Field Studies
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    Chapter 14 Reuse-Oriented Code Recommendation Systems
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    Chapter 15 Recommending Refactoring Operations in Large Software Systems
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    Chapter 16 Recommending Program Transformations
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    Chapter 17 Recommendation Systems in Requirements Discovery
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    Chapter 18 Changes, Evolution, and Bugs
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    Chapter 19 Recommendation Heuristics for Improving Product Line Configuration Processes
Attention for Chapter 17: Recommendation Systems in Requirements Discovery
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Citations

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Chapter title
Recommendation Systems in Requirements Discovery
Chapter number 17
Book title
Recommendation Systems in Software Engineering
Published by
Springer, Berlin, Heidelberg, January 2014
DOI 10.1007/978-3-642-45135-5_17
Book ISBNs
978-3-64-245134-8, 978-3-64-245135-5
Authors

Negar Hariri, Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Lecturer 2 13%
Researcher 2 13%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 12 75%
Unspecified 1 6%
Engineering 1 6%
Unknown 2 13%

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