Book Image

C# and .NET Core Test Driven Development

By : Ayobami Adewole
Book Image

C# and .NET Core Test Driven Development

By: Ayobami Adewole

Overview of this book

This book guides developers to create robust, production-ready C# 7 and .NET Core applications through the practice of test-driven development process. In C# and .NET Core Test-Driven Development, you will learn the different stages of the TDD life cycle, basics of TDD, best practices, and anti-patterns. It will teach you how to create an ASP.NET Core MVC sample application, write testable code with SOLID principles and set up a dependency injection for your sample application. Next, you will learn the xUnit testing framework and learn how to use its attributes and assertions. You’ll see how to create data-driven unit tests and mock dependencies in your code. You will understand the difference between running and debugging your tests on .NET Core on LINUX versus Windows and Visual Studio. As you move forward, you will be able to create a healthy continuous integration process for your sample application using GitHub, TeamCity, Cake, and Microsoft VSTS. By the end of this book, you will have learned how to write clean and robust code through the effective practice of TDD, set up CI build steps to test and build applications as well as how to package application for deployment on NuGet.
Table of Contents (11 chapters)

Data-Driven Unit Tests

In the last chapter, we discussed the attributes of good unit tests, as well as the two types of test supported by xUnit.net, Fact and Theory. Also, we walked through the creation of unit tests using the rich set of test assertions that are available in the xUnit.net unit testing framework.

Unit tests written for a software project should be run repeatedly right from the development stage, during deployment, during maintenance, and, effectively, throughout the life cycle of the project. Often, these tests should be run on different data inputs following the same execution steps, while the tests, and essentially, the code being tested are expected to have consistent behavior, irrespective of the data input.

Running tests on different sets of data can be achieved by creating or replicating existing tests with similar steps operating on the different desired...