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Open Source Systems: Adoption and Impact

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Table of Contents

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    Book Overview
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    Chapter 1 An Empirical Study of the Relation Between Strong Change Coupling and Defects Using History and Social Metrics in the Apache Aries Project
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    Chapter 2 Scaling and Internationalizing an Agile FOSS Project: Lessons Learned
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    Chapter 3 How Developers Acquire FLOSS Skills
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    Chapter 4 Implicit Coordination: A Case Study of the Rails OSS Project
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    Chapter 5 The Diffusion of Pastebin Tools to Enhance Communication in FLOSS Mailing Lists
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    Chapter 6 Examining Usability Work and Culture in OSS
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    Chapter 7 On the Availability and Effectiveness of Open Source Software for Digital Signing of PDF Documents
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    Chapter 8 A Systematic Approach for Evaluating BPM Systems: Case Studies on Open Source and Proprietary Tools
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    Chapter 9 Smart Route Planning Using Open Data and Participatory Sensing
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    Chapter 10 Open Source Systems: Adoption and Impact
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    Chapter 11 Surveying the Adoption of FLOSS by Public Administration Local Organizations
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    Chapter 12 Open Source Systems: Adoption and Impact
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    Chapter 13 First Results About Motivation and Impact of License Changes in Open Source Projects
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    Chapter 14 Open Source Systems: Adoption and Impact
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    Chapter 15 Open Source Systems: Adoption and Impact
  17. Altmetric Badge
    Chapter 16 Open Source Software Ecosystems: Towards a Modelling Framework
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Chapter title
Open Source Systems: Adoption and Impact
Chapter number 14
Book title
Open Source Systems: Adoption and Impact
Published by
Springer International Publishing, May 2015
DOI 10.1007/978-3-319-17837-0_14
Book ISBNs
978-3-31-917836-3, 978-3-31-917837-0
Authors

Trevor Maryka, Daniel M. German, Germán Poo-Caamaño

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Researcher 1 20%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Computer Science 5 100%