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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

Scriptable users and structure

Once we’ve tested creating users and accounts through the user interface, we likely don’t need to do it again in the same test run. Yet, we may have complex tests, such as the account permissions example in the previous section, that require a lot of setup. One option is to write automation that isn’t really testing anything, just creating accounts through the user interface. These checks will be brittle, meaning they break easily with small changes in the software. Brittle tests are hard to maintain because they confuse changes that don’t matter with changes that do. This makes the software record a failure when it should not. Fixing the automated check will require re-running to failure, figuring out the new expectations, and changing the code, and running again. This extra work adds to maintenance costs. These checks also tend to be slow, because they actually load a real web page or run an application that connects to the...

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