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Software Testing Strategies

Software Testing Strategies

By : Matthew Heusser, Michael Larsen
4.9 (9)
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Software Testing Strategies

Software Testing Strategies

4.9 (9)
By: Matthew Heusser, Michael Larsen

Overview of this book

In today’s world, software is everywhere—from entertainment apps to mission-critical systems that support our health, finance, and infrastructure. Testing plays a vital role in ensuring these systems work reliably. Whether you're a software developer, hobbyist, or IT professional, this book will guide you in mastering the art of testing. It’s about asking the right "What if?" questions, uncovering vulnerabilities, and ensuring software performs as expected throughout its lifecycle. Testing isn't just about automation; it’s a human-driven, creative process that requires skill, and a deep understanding of software behavior. With practical examples and expert insights, this book helps you craft your own test strategies and explore novel approaches to problem-solving in the testing world. With its help, you’ll hone your testing skills with techniques and methodologies rather than tool-based solutions. Authored by experts Matt Heusser and Michael Larson, the book provides valuable strategies for making testing both effective and engaging. Matt is known for his leadership in project rescue initiatives, while Michael’s work in accessibility testing has helped shape industry standards. By the end of this book, you’ll be equipped to enhance your testing practices and ensure high-quality software in an ever-evolving tech landscape.
Table of Contents (22 chapters)
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1
Part 1:The Practice of Software Testing
9
Part 2:Testing and Software Delivery
14
Part 3:Practicing Politics

Mutation testing

In Chapter 2, we talked about code coverage – that is, by running the tests while measuring, we can determine how much of the code is covered by the tests. That example was by metaphor, of a dog park. We can, however, look at the actual lines of code and ask if they are executed when the test runs. The number of lines of code executed divided by the total lines of code is the statement coverage. There are problems with this approach that we’ll discuss in Chapter 9, but we hope you can agree that having such a number is generally better than nothing. Speaking of ways, there is another, slightly tricky way to see how sufficient unit tests are. We could change the code itself to perhaps compile, yet intentionally break. For example, we could change hard-coded TRUE statements to FALSE, remove a line of code that includes a method call, change the order in which parameters are passed into a method, and so on.

This involves changing the production code in...

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Software Testing Strategies
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