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Agile Processes in Software Engineering and Extreme Programming

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Cover of 'Agile Processes in Software Engineering and Extreme Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Benefits of Card Walls in Agile Software Development: A Systematic Literature Review
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    Chapter 2 Moscow Rules: A Quantitative Exposé
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    Chapter 3 Are Your Online Agile Retrospectives Psychologically Safe? the Usage of Online Tools
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    Chapter 4 Coordination Strategies When Working from Anywhere: A Case Study of Two Agile Teams
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    Chapter 5 Roles of Middle Managers in Agile Project Governance
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    Chapter 6 Building a Toolbox for Working with Psychological Safety in Agile Software Teams
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    Chapter 7 Understanding Leadership in Agile Software Development Teams: Who and How?
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    Chapter 8 A Case for Data-Driven Agile Transformations: Can Longitudinal Backlog Data Help Guide Organizational Improvement Journeys?
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    Chapter 9 Work Engagement in Agile Teams: The Missing Link Between Team Autonomy, Trust, and Performance?
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    Chapter 10 Design and Validation of a Capability Measurement Instrument for DevOps Teams
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    Chapter 11 Toward an Agile Product Management: What Do Product Managers Do in Agile Companies?
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    Chapter 12 A Countrywide Descriptive Survey of Agile Software Development in Brazil
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    Chapter 13 Investigating the Current State of Security in Large-Scale Agile Development
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    Chapter 14 Agile Data Management in NAV: A Case Study
Attention for Chapter 3: Are Your Online Agile Retrospectives Psychologically Safe? the Usage of Online Tools
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Chapter title
Are Your Online Agile Retrospectives Psychologically Safe? the Usage of Online Tools
Chapter number 3
Book title
Agile Processes in Software Engineering and Extreme Programming
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-08169-9_3
Book ISBNs
978-3-03-108168-2, 978-3-03-108169-9
Authors

Khanna, Dron, Wang, Xiaofeng

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X Demographics

The data shown below were collected from the profile of 1 X user 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unknown 3 100%