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Scaling Scrum Across Modern Enterprises

You're reading from   Scaling Scrum Across Modern Enterprises Implement Scrum and Lean-Agile techniques across complex products, portfolios, and programs in large organizations

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839216473
Length 618 pages
Edition 1st Edition
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Author (1):
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Cecil 'Gary' Rupp Cecil 'Gary' Rupp
Author Profile Icon Cecil 'Gary' Rupp
Cecil 'Gary' Rupp
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Scaling Lightweight Scrum into a Heavyweight Contender
2. Chapter 1: TheOrigins of Agile and Lightweight Methodologies FREE CHAPTER 3. Chapter 2: Scrum Beyond Basics 4. Chapter 3: The Scrum Approach 5. Chapter 4: Systems Thinking 6. Chapter 5: Lean Thinking 7. Chapter 6: Lean Practices in Software Development 8. Section 2: Comparative Review of Industry Scaled Agile Approaches
9. Chapter 7: Scrum of Scrums 10. Chapter 8: Scrum@Scale 11. Chapter 9: The Nexus Framework 12. Chapter 10: Large-Scale Scrum (LeSS) 13. Chapter 11: Disciplined Agile 14. Chapter 12: Essential Scaled Agile Framework® (SAFe®) 15. Chapter 13: Full Scaled Agile Framework® (SAFe®) 16. Section 3: Implementation Strategies
17. Chapter 14: Contrasting Scrum/Lean-Agile Scaling Approaches 18. Assessments 19. Other Books You May Enjoy

Leveraging empirical process control theory

Scrum's foundations lie on empiricism, as opposed to following a pre-planned process. Empiricism in the philosophy of science, which emphasizes on knowledge acquisition through hypothesis, theories, experimentation, and the validation of results. For example, the scientific method is based on empiricism.

A hypothesis is an initial – though hopefully testable – assumption, when supporting data or information is lacking, about how or why something works the way it does. In contrast, a theory is an attempt to explain the observed phenomenon based on the data and the facts that are known. Hypothesis and theories both serve as a starting point to assess our understanding of the world around us.

Next, experiments are designed that test the hypothesis or validate whether the theories work. When the evidence supports the hypothesis or theories, the scientists (developers, in the case of Scrum) gain confidence in their understanding...

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