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Software Testing Strategies

You're reading from   Software Testing Strategies A testing guide for the 2020s

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837638024
Length 378 pages
Edition 1st Edition
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Authors (2):
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Matthew Heusser Matthew Heusser
Author Profile Icon Matthew Heusser
Matthew Heusser
Michael Larsen Michael Larsen
Author Profile Icon Michael Larsen
Michael Larsen
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Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1:The Practice of Software Testing
2. Chapter 1: Testing and Designing Tests FREE CHAPTER 3. Chapter 2: Fundamental Issues in Tooling and Automation 4. Chapter 3: Programmer-Facing Testing 5. Chapter 4: Customer-Facing Tests 6. Chapter 5: Specialized Testing 7. Chapter 6: Testing Related Skills 8. Chapter 7: Test Data Management 9. Part 2:Testing and Software Delivery
10. Chapter 8: Delivery Models and Testing 11. Chapter 9: The Puzzle Pieces of Good Testing 12. Chapter 10: Putting Your Test Strategy Together 13. Chapter 11: Lean Software Testing 14. Part 3:Practicing Politics
15. Chapter 12: Case Studies and Experience Reports 16. Chapter 13: Testing Activities or a Testing Role? 17. Chapter 14: Philosophy and Ethics in Software Testing 18. Chapter 15: Words and Language About Work 19. Chapter 16: Testing Strategy Applied 20. Index 21. Other Books You May Enjoy

Summary

Test data management sounds like the topic of a book you would read to help you get to sleep at night. It is not exciting. Yet actually knowing what to expect when a test runs is important. If we want to know what to expect, then we must predict what will be in permanent storage. This chapter discussed ways to know what is in permanent storage, such as having a standard set of data, making application setup scriptable, and creating test users in production. Other ways to get accurate test data include pulling data from production or managing the data that exists in development and test environments. Finally, we considered regulatory issues that might create additional challenges regarding test data. With this in hand, you should be able to create test plans that are immune to data corruption, failures due to tests aging out, and related problems. Not only that, but you will be able to identify problems with system architecture and test plans – and fix them.

With test...

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