Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations

Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations

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Product Details

ISBN-13: 9781942788355
Publisher: IT Revolution Press
Publication date: 03/27/2018
Sold by: Barnes & Noble
Format: NOOK Book
Pages: 288
Sales rank: 109,278
File size: 6 MB

About the Author

Dr. Nicole Forsgren is CEO and Chief Scientist at DevOps Research and Assessment LLC. She is best known as the lead investigator on the largest DevOps study to date. She has been a professor and performance engineer, and her work has been published in several peer-reviewed journals.

Jez Humble is co-author of The DevOps Handbook, Lean Enterprise, and the Jolt Award-winning Continuous Delivery. He is currently researching how to build high performing teams at his startup, DevOps Research and Assessment, LLC, and teaching at UC Berkeley.

Gene Kim is a multiple award-winning CTO, researcher, and co-author of The Phoenix Project, The DevOps Handbook, and The Visible Ops Handbook. He is founder of IT Revolution and hosts the DevOps Enterprise Summit conferences.

Table of Contents

Foreword Martin Fowler xi

Foreword Courtney Kissler xv

Quick Reference: Capabilities to Drive Improvement xix

Preface xxi

Part I What We Found

1 Accelerate 3

2 Measuring Performance 11

3 Measuring and Changing Culture 29

4 Technical Practices 41

5 Architecture 59

6 Integrating Infosec into the Delivery Lifecycle 69

7 Management Practices for Software 75

8 Product Development 83

9 Making Work Sustainable 89

10 Employee Satisfaction, Identity, and Engagement 101

11 Leaders and Managers 115

Part II The Research

12 The Science Behind This Book 131

13 Introduction to Psychometrics 143

14 Why Use a Survey 157

15 The Data for the Project 169

Part III Transformation

16 High-Performance Leadership and Management 179

Conclusion 199

Appendix A Capabilities to Drive Improvement 201

Appendix B The Stats 211

Appendix C Statistical Methods Used in Our Research 223

Acknowledgments 231

Bibliography 237

Index 243

About the Authors 257

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