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Mastering Scale and Complexity in Software Reuse

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Cover of 'Mastering Scale and Complexity in Software Reuse'

Table of Contents

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    Book Overview
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    Chapter 1 DevRec: A Developer Recommendation System for Open Source Repositories
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    Chapter 2 Documentation Reuse: Hot or Not? An Empirical Study
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    Chapter 3 A Preliminary Assessment of Variability Implementation Mechanisms in Service-Oriented Computing
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    Chapter 4 No Code Anomaly is an Island
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    Chapter 5 ReMINDER: An Approach to Modeling Non-Functional Properties in Dynamic Software Product Lines
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    Chapter 6 Clustering Variation Points in MATLAB/Simulink Models Using Reverse Signal Propagation Analysis
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    Chapter 7 Discovering Software Architectures with Search-Based Merge of UML Model Variants
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    Chapter 8 Tracing Imperfectly Modular Variability in Software Product Line Implementation
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    Chapter 9 Composition of Verification Assets for Software Product Lines of Cyber Physical Systems
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    Chapter 10 Engineering and Employing Reusable Software Components for Modular Verification
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    Chapter 11 Refactoring Legacy JavaScript Code to Use Classes: The Good, The Bad and The Ugly
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    Chapter 12 DyMMer-NFP: Modeling Non-functional Properties and Multiple Context Adaptation Scenarios in Software Product Lines
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    Chapter 13 Identification and Prioritization of Reuse Opportunities with JReuse
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    Chapter 14 EcoData: Architecting Cross-Platform Software Ecosystem Applications
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    Chapter 15 Investigating the Recovery of Product Line Architectures: An Approach Proposal
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    Chapter 16 Towards a Guideline-Based Approach to Govern Developers in Mobile Software Ecosystems
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    Chapter 17 Erratum to: Towards a Guideline-Based Approach to Govern Developers in Mobile Software Ecosystems
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88 X users
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Citations

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Title
Mastering Scale and Complexity in Software Reuse
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-56856-0
ISBNs
978-3-31-956855-3, 978-3-31-956856-0
Editors

Goetz Botterweck, Claudia Werner

X Demographics

X Demographics

The data shown below were collected from the profiles of 88 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 35%
Student > Bachelor 3 18%
Student > Master 3 18%
Professor 1 6%
Student > Doctoral Student 1 6%
Other 2 12%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 13 76%
Agricultural and Biological Sciences 1 6%
Economics, Econometrics and Finance 1 6%
Engineering 1 6%
Unknown 1 6%