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Contemporary Empirical Methods in Software Engineering

Overview of attention for book
Cover of 'Contemporary Empirical Methods in Software Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 The Evolution of Empirical Methods in Software Engineering
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    Chapter 2 Guidelines for Conducting Software Engineering Research
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    Chapter 3 Guidelines for Case Survey Research in Software Engineering
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    Chapter 4 Challenges in Survey Research
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    Chapter 5 The Design Science Paradigm as a Frame for Empirical Software Engineering
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    Chapter 6 Biometric Measurement in Software Engineering
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    Chapter 7 Empirical Software Engineering Experimentation with Human Computation
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    Chapter 8 Data Science and Empirical Software Engineering
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    Chapter 9 Optimization in Software Engineering: A Pragmatic Approach
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    Chapter 10 The Role of Simulation-Based Studies in Software Engineering Research
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    Chapter 11 Bayesian Data Analysis in Empirical Software Engineering: The Case of Missing Data
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    Chapter 12 Automating Systematic Literature Review
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    Chapter 13 Rapid Reviews in Software Engineering
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    Chapter 14 Benefitting from the Grey Literature in Software Engineering Research
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    Chapter 15 Guidelines for Managing Threats to Validity of Secondary Studies in Software Engineering
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    Chapter 16 Research Synthesis in Software Engineering
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    Chapter 17 Open Science in Software Engineering
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    Chapter 18 Third Generation Industrial Co-production in Software Engineering
Overall attention for this book and its chapters
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Mentioned by

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66 X users
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1 Wikipedia page
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2 YouTube creators

Citations

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15 Dimensions

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Title
Contemporary Empirical Methods in Software Engineering
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-32489-6
ISBNs
978-3-03-032488-9, 978-3-03-032489-6
Editors

Michael Felderer, Guilherme Horta Travassos

X Demographics

X Demographics

The data shown below were collected from the profiles of 66 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Student > Master 13 16%
Researcher 10 12%
Professor 6 7%
Student > Bachelor 4 5%
Other 12 15%
Unknown 18 22%
Readers by discipline Count As %
Computer Science 45 55%
Engineering 6 7%
Business, Management and Accounting 3 4%
Social Sciences 3 4%
Arts and Humanities 1 1%
Other 3 4%
Unknown 21 26%