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Reuse in the Big Data Era

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Cover of 'Reuse in the Big Data Era'

Table of Contents

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    Book Overview
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    Chapter 1 A Flexible and Efficient Approach to Component Test in Time-Critical Scenarios
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    Chapter 2 Extending FragOP Domain Reusable Components to Support Product Customization in the Context of Software Product Lines
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    Chapter 3 Towards a Software System for Facilitating the Reuse of Business Processes
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    Chapter 4 Automated Support to Capture Creative Requirements via Requirements Reuse
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    Chapter 5 A Comparative Analysis of Game Engines to Develop Core Assets for a Software Product Line of Mini-Games
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    Chapter 6 Behavioral Evolution of Design Patterns: Understanding Software Reuse Through the Evolution of Pattern Behavior
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    Chapter 7 Developing a Flexible Simulation-Optimization Framework to Facilitate Sustainable Urban Drainage Systems Designs Through Software Reuse
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    Chapter 8 Automatically Extracting Bug Reproducing Steps from Android Bug Reports
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    Chapter 9 Searching Software Knowledge Graph with Question
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    Chapter 10 SemiTagRec: A Semi-supervised Learning Based Tag Recommendation Approach for Docker Repositories
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    Chapter 11 Slicing Based Code Recommendation for Type Based Instance Retrieval
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    Chapter 12 NLI2Code: Reusing Libraries with Natural Language Interface
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    Chapter 13 A Double-Edged Sword? Software Reuse and Potential Security Vulnerabilities
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    Chapter 14 ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System
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    Chapter 15 An Improved Approach for Complex Activity Recognition in Smart Homes
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    Chapter 16 Examining the Reusability of Smart Home Applications: A Case Study on Eclipse Smart Home
Attention for Chapter 5: A Comparative Analysis of Game Engines to Develop Core Assets for a Software Product Line of Mini-Games
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Chapter title
A Comparative Analysis of Game Engines to Develop Core Assets for a Software Product Line of Mini-Games
Chapter number 5
Book title
Reuse in the Big Data Era
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-22888-0_5
Book ISBNs
978-3-03-022887-3, 978-3-03-022888-0
Authors

Martín Sierra, María Constanza Pabón, Luisa Rincón, Andres Navarro-Newball, Diego Linares

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%