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Rethinking Productivity in Software Engineering

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Cover of 'Rethinking Productivity in Software Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 The Mythical 10x Programmer
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    Chapter 2 No Single Metric Captures Productivity
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    Chapter 3 Why We Should Not Measure Productivity
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    Chapter 4 Defining Productivity in Software Engineering
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    Chapter 5 A Software Development Productivity Framework
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    Chapter 6 Individual, Team, Organization, and Market: Four Lenses of Productivity
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    Chapter 7 Software Productivity Through the Lens of Knowledge Work
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    Chapter 8 Factors That Influence Productivity: A Checklist
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    Chapter 9 How Do Interruptions Affect Productivity?
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    Chapter 10 Happiness and the Productivity of Software Engineers
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    Chapter 11 Dark Agile: Perceiving People As Assets, Not Humans
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    Chapter 12 Developers’ Diverging Perceptions of Productivity
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    Chapter 13 Human-Centered Methods to Boost Productivity
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    Chapter 14 Using Biometric Sensors to Measure Productivity
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    Chapter 15 How Team Awareness Influences Perceptions of Developer Productivity
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    Chapter 16 Software Engineering Dashboards: Types, Risks, and Future
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    Chapter 17 The COSMIC Method for Measuring the Work-Output Component of Productivity
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    Chapter 18 Benchmarking: Comparing Apples to Apples
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    Chapter 19 Removing Software Development Waste to Improve Productivity
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    Chapter 20 Organizational Maturity: The Elephant Affecting Productivity
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    Chapter 21 Does Pair Programming Pay Off?
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    Chapter 22 Fitbit for Developers: Self-Monitoring at Work
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    Chapter 23 Reducing Interruptions at Work with FlowLight
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    Chapter 24 Enabling Productive Software Development by Improving Information Flow
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    Chapter 25 Mindfulness as a Potential Tool for Productivity
Attention for Chapter 22: Fitbit for Developers: Self-Monitoring at Work
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Chapter title
Fitbit for Developers: Self-Monitoring at Work
Chapter number 22
Book title
Rethinking Productivity in Software Engineering
Published by
Apress, Berkeley, CA, January 2019
DOI 10.1007/978-1-4842-4221-6_22
Book ISBNs
978-1-4842-4220-9, 978-1-4842-4221-6
Authors

André N. Meyer, Thomas Fritz, Thomas Zimmermann

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 2 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Psychology 1 50%