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Continuous Testing, Quality, Security, and Feedback

You're reading from   Continuous Testing, Quality, Security, and Feedback Essential strategies and secure practices for DevOps, DevSecOps, and SRE transformations

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835462249
Length 350 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Marc Hornbeek Marc Hornbeek
Author Profile Icon Marc Hornbeek
Marc Hornbeek
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Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1: Understanding Continuous Testing, Quality, Security, and Feedback
2. Chapter 1: Principles of Continuous Testing, Quality, Security, and Feedback FREE CHAPTER 3. Chapter 2: The Importance of Continuous Testing, Quality, Security, and Feedback 4. Chapter 3: Experiences and Pitfalls with Continuous Testing, Quality, Security, and Feedback 5. Part 2: Determining Solutions Priorities
6. Chapter 4: Engineering Approach to Continuous Testing, Quality, Security, and Feedback 7. Chapter 5: Determining Transformation Goals 8. Chapter 6: Discovery and Benchmarking 9. Chapter 7: Selecting Tool Platforms and Tools 10. Chapter 8: Applying AL/ML to Continuous Testing, Quality, Security, and Feedback 11. Part 3: Deep Dive into Roadmaps, Implementation Patterns, and Measurements
12. Chapter 9: Use Cases for Integrating with DevOps, DevSecOps, and SRE 13. Chapter 10: Building Roadmaps for Implementation 14. Chapter 11: Understanding Transformation Implementation Patterns 15. Chapter 12: Measuring Progress and Outcomes 16. Part 4: Exploring Future Trends and Continuous Learning
17. Chapter 13: Emerging Trends 18. Chapter 14: Exploring Continuous Learning and Improvement 19. Glossary and References 20. Index 21. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

acceptable roadmap

determining 221

Agile 45

agility goals 82

AI chatbots

transformation goals, determining 88, 89

AI/ML applications 158

AI/ML-assisted continuous feedback

real-world use case 179

AI/ML-assisted continuous quality

real-world use case 169

AI/ML-assisted continuous security

real-world use case 174

AI/ML-assisted continuous testing

real-world use case 164

AI/ML for continuous feedback 174

challenges 177-179

feature implementation and testing 176

feedback analysis 175

feedback collection 175

feedback loop closure 176

impact analysis 176

integration into development workflow 175

release and monitoring 176

strategies, to overcome challenges 177-179

AI/ML for continuous quality 165

automated code reviews 165...

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