Book Image

Software Architecture with C++

By : Adrian Ostrowski, Piotr Gaczkowski
Book Image

Software Architecture with C++

By: Adrian Ostrowski, Piotr Gaczkowski

Overview of this book

Software architecture refers to the high-level design of complex applications. It is evolving just like the languages we use, but there are architectural concepts and patterns that you can learn to write high-performance apps in a high-level language without sacrificing readability and maintainability. If you're working with modern C++, this practical guide will help you put your knowledge to work and design distributed, large-scale apps. You'll start by getting up to speed with architectural concepts, including established patterns and rising trends, then move on to understanding what software architecture actually is and start exploring its components. Next, you'll discover the design concepts involved in application architecture and the patterns in software development, before going on to learn how to build, package, integrate, and deploy your components. In the concluding chapters, you'll explore different architectural qualities, such as maintainability, reusability, testability, performance, scalability, and security. Finally, you will get an overview of distributed systems, such as service-oriented architecture, microservices, and cloud-native, and understand how to apply them in application development. By the end of this book, you'll be able to build distributed services using modern C++ and associated tools to deliver solutions as per your clients' requirements.
Table of Contents (24 chapters)
1
Section 1: Concepts and Components of Software Architecture
5
Section 2: The Design and Development of C++ Software
6
Architectural and System Design
10
Section 3: Architectural Quality Attributes
15
Section 4: Cloud-Native Design Principles
21
About Packt

The boring refrain – write your tests first

This has been said many times, yet many people tend to "forget" this rule. When you actually write your tests, the first thing you must do is reduce the risk of creating classes that are hard to test. You start with API usage and need to bend the implementation to best serve the API. This way, you usually end up with APIs that are both more pleasant to use and easier to test. When you're implementing test-driven development (TDD) or writing tests before code,  you'll also end up implementing dependency injection, which means your classes can be more loosely coupled.

Doing this the other way around (writing your classes first and only then adding unit tests to them) may mean that you up with code that is easier to write but harder to test. And when testing gets harder, you may feel the temptation to skip it.