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Test-Driven Development with C++

Test-Driven Development with C++

By : Abdul Wahid Tanner
4.5 (2)
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Test-Driven Development with C++

Test-Driven Development with C++

4.5 (2)
By: Abdul Wahid Tanner

Overview of this book

Modern, standard C++ is all that is needed to create a small and practical testing framework that will improve the design of any project. This allows you to think about how the code will be used, which is the first step in designing intuitive interfaces. TDD is a modern balanced software development approach that helps to create maintainable applications, provide modularity in design, and write minimal code that drastically reduces defects. With the help of this book, you'll be able to continue adding value when designs need to change by ensuring that the changes don't break existing tests. In this book, you will use test-driven development (TDD) to gain practical skills by writing a simple testing framework and then using it to drive the design of a logging library. The book will help you enhance your software development skills with test cases. You'll understand how to design and implement test cases. The chapters will also show you how to utilize the TDD approach to be more productive in software development than attempting to code in large unstructured steps. By the end of this book, you'll have gained knowledge of TDD and testing and also built a working logging library with unique features not found in other libraries.
Table of Contents (21 chapters)
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1
Part 1: Testing MVP
10
Part 2: Using TDD to Create a Logging Library
14
Part 3: Extending the TDD Library to Support the Growing Needs of the Logging Library

How to Test Floating-Point and Custom Values

We first encountered the need to test floating-point values in Chapter 5, Adding More Confirm Types, and created a simple solution that would let us compare floating-point values within a margin of error. We need the small margin because floating-point values that are close and might even look identical when displayed are almost always not exactly equal. These small differences make it hard to verify test results.

The main topics in this chapter are as follows:

  • More precise floating-point comparisons
  • Adding floating-point Hamcrest matchers
  • Writing custom Hamcrest matchers

We’re going to improve the simple solution developed earlier into a much better way to compare floating-point values that is more precise and works for both small and big values. We’ll use the better comparison for both the earlier classical-style confirmations and the new Hamcrest-style confirmations.

You’ll also learn...

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