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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

Technical requirements

Test data needs to be saved, archived, loaded, version controlled, and so on. That, in a way, makes it very much like code. Our goal with this chapter is to aid the communication between programmers and less technical staff. Specifically, a tester who does not program might be able to create technical requirements for the test data that a product owner could prioritize as a feature for ongoing development. You’ll also learn how to articulate the cost in terms of time investment if those tools don’t exist. Programmers who read this chapter will understand the ideas and immediately be able to implement them.

The solutions in the chapter will tend to be high-level, programming-language-agnostic concepts. So, no specific programming language is required. An understanding of databases and SQL will be helpful. Teams that use key/value pairs and NoSQL databases will also be able to benefit from this chapter.

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