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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
  2. Altmetric Badge
    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
Attention for Chapter 4: Challenges in Survey Research
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Chapter title
Challenges in Survey Research
Chapter number 4
Book title
Contemporary Empirical Methods in Software Engineering
Published by
Springer, Cham, August 2020
DOI 10.1007/978-3-030-32489-6_4
Book ISBNs
978-3-03-032488-9, 978-3-03-032489-6
Authors

Stefan Wagner, Daniel Mendez, Michael Felderer, Daniel Graziotin, Marcos Kalinowski

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X Demographics

The data shown below were collected from the profiles of 8 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 21%
Student > Ph. D. Student 7 9%
Researcher 6 8%
Student > Doctoral Student 5 7%
Lecturer 4 5%
Other 10 13%
Unknown 27 36%
Readers by discipline Count As %
Computer Science 22 29%
Business, Management and Accounting 8 11%
Social Sciences 5 7%
Economics, Econometrics and Finance 2 3%
Medicine and Dentistry 2 3%
Other 8 11%
Unknown 28 37%