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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

Introducing FizzBuzz

When we interview programmers who will write code to help with testing, we like the exercise FizzBuzz. The exercise requires the programmer to understand conditionals (which are if statements), looping, and the modulus operator (which is the remainder in division). Let’s see what a typical assignment might look like.

In the children’s game of Fizzbuzz, players rotate, keeping a count that starts with one. If the next number is divisible by three, players say “Fizz.” If it is divisible by five, they say “Buzz.” If it is not divisible, they say the number. The goal is to write a computer program that runs on the command line and takes in the number to count up to in FizzBuzz math, then puts the output on the screen.

Matt wrote up an implementation of FizzBuzz in Ruby. Instead of the most powerful constructs of the language, he used the ones that were easiest to read. The following output could be “tighter,”...

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