Book Image

An Atypical ASP.NET Core 6 Design Patterns Guide - Second Edition

By : Carl-Hugo Marcotte
5 (1)
Book Image

An Atypical ASP.NET Core 6 Design Patterns Guide - Second Edition

5 (1)
By: Carl-Hugo Marcotte

Overview of this book

An Atypical ASP.NET Core 6 Design Patterns Guide, Second Edition approaches programming like playing with LEGO®: snapping small pieces together to create something beautiful. Thoroughly updated for ASP.NET Core 6, with further coverage of microservices patterns, data contracts, and event-driven architecture, this book gives you the tools to build and glue reliable components together to improve your programmatic masterpieces. The chapters are organized based on scale and topic, allowing you to start small and build on a strong base, the same way that you would develop a program. You will begin by exploring basic design patterns, SOLID architectural principles, dependency injection, and other ASP.NET Core 6 mechanisms. You will explore component-scale patterns, and then move to higher level application-scale patterns and techniques to better structure your applications. Finally, you'll advance to the client side to connect the dots with tools like Blazor and make ASP.NET Core a viable full-stack web development framework. You will supplement your learning with practical use cases and best practices, exploring a range of significant Gang of Four (GoF) design patterns along the way. By the end of the book, you will be comfortable combining and implementing patterns in different ways, and crafting software solutions of any scale.
Table of Contents (31 chapters)
Preface
Free Chapter
1
Section 1: Principles and Methodologies
5
Section 2: Designing for ASP.NET Core
11
Section 3: Designing at Component Scale
15
Section 4: Designing at Application Scale
21
Section 5: Designing the Client Side
25
Acronyms Lexicon
26
Other Books You May Enjoy
27
Index
Appendices

Important testing principles

One essential thing to remember when writing tests is to test use cases, not the code itself; we are testing features’ correctness, not code correctness. Of course, if the expected outcome of a feature is correct, that also means the codebase is correct. However, it is not always true for the other way around; correct code may yield an incorrect outcome. Also, remember that code costs money to write while features deliver value.

To help with that, the test requirements usually revolve around the inputs and outputs. When specific values go into your subject under test, you expect particular values to come out. Whether you are testing a simple Add method where the ins are two or more numbers and the out is the sum of those numbers, or a more complex feature where the ins come from a form and the out is the record getting persisted in a database, most of the time, we are testing the ins and outs.

That’s the first principle you must know...