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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 3: Towards a Software System for Facilitating the Reuse of Business Processes
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Chapter title
Towards a Software System for Facilitating the Reuse of Business Processes
Chapter number 3
Book title
Reuse in the Big Data Era
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-22888-0_3
Book ISBNs
978-3-03-022887-3, 978-3-03-022888-0
Authors

Konstantinos Athanasopoulos, Georgios Theodoridis, Christos Darisaplis, Ioannis Stamelos, Athanasopoulos, Konstantinos, Theodoridis, Georgios, Darisaplis, Christos, Stamelos, Ioannis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 44%
Lecturer 1 11%
Student > Bachelor 1 11%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 5 56%
Business, Management and Accounting 1 11%
Decision Sciences 1 11%
Unknown 2 22%