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Open Source Systems: Enterprise Software and Solutions

Overview of attention for book
Cover of 'Open Source Systems: Enterprise Software and Solutions'

Table of Contents

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    Book Overview
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    Chapter 1 How Can Open Source Software Projects Be Compared with Organizations?
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    Chapter 2 FLOSS Project Management in Government-Academia Collaboration
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    Chapter 3 Insights into the Trilateral Relationship of Crowdfunding Campaigns, Open Source and Communities
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    Chapter 4 Open Source Software Resilience Framework
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    Chapter 5 Leaving Behind the Software History When Transitioning to Open Source: Reasons and Implications
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    Chapter 6 Developer Dynamics and Syntactic Quality of Commit Messages in OSS Projects
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    Chapter 7 Process Mining for Process Conformance Checking in an OSS Project: An Empirical Research
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    Chapter 8 Ranking Source Code Static Analysis Warnings for Continuous Monitoring of FLOSS Repositories
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    Chapter 9 Using PageRank to Reveal Relevant Issues to Support Decision-Making on Open Source Projects
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    Chapter 10 Creating and Integrating a FLOSS Product into UK Law Enforcement
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    Chapter 11 Possibilities of Use of Free and Open Source Software in the Greek Local Authorities
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    Chapter 12 Mining and Linking Open Economic Data from Governmental Communities
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    Chapter 13 Understanding Industry Requirements for FLOSS Governance Tools
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    Chapter 14 Building a Social Platform Using FLOSS to Support Collaborative Communities: The ReWeee Case Study
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    Chapter 15 Improving C/C++ Open Source Software Discoverability by Utilizing Rust and Node.js Ecosystems
Overall attention for this book and its chapters
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Title
Open Source Systems: Enterprise Software and Solutions
Published by
Springer International Publishing, August 2018
DOI 10.1007/978-3-319-92375-8
ISBNs
978-3-31-992374-1, 978-3-31-992375-8
Editors

Stamelos, Ioannis, Gonzalez-Barahoña, Jesus M., Varlamis, Iraklis, Anagnostopoulos, Dimosthenis

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X Demographics

The data shown below were collected from the profiles of 3 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Professor > Associate Professor 1 9%
Unknown 7 64%
Readers by discipline Count As %
Computer Science 3 27%
Arts and Humanities 1 9%
Unknown 7 64%