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Refactoring with C++

Refactoring with C++

By : Dmitry Danilov
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Refactoring with C++

Refactoring with C++

5 (2)
By: Dmitry Danilov

Overview of this book

Despite the prevalence of higher-level languages, C++ is still running the world, from bare-metal embedded systems to distributed cloud-native systems. C++ is on the frontline whenever there is a need for a performance-sensitive tool supporting complex data structures. The language has been actively evolving for the last two decades. This book is a comprehensive guide that shows you how to implement SOLID principles and refactor legacy code using the modern features and approaches of C++, the standard library, Boost library collection, and Guidelines Support Library by Microsoft. The book begins by describing the essential elements of writing clean code and discussing object-oriented programming in C++. You’ll explore the design principles of software testing with examples of using popular unit testing frameworks such as Google Test. The book also guides you through applying automated tools for static and dynamic code analysis using Clang Tools. By the end of this book, you’ll be proficient in applying industry-approved coding practices to design clean, sustainable, and readable real-world C++ code.
Table of Contents (18 chapters)
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Main Software Development Principles

In this chapter, we will explore the main software design principles that are used to create well-structured and maintainable code. One of the most important principles is SOLID, which stands for Single Responsibility Principle, Open-Closed Principle, Liskov Substitution Principle, Interface Segregation Principle, and Dependency Inversion Principle. These principles are designed to help developers create code that is easy to understand, test, and modify. We will also discuss the importance of levels of abstraction, which is the practice of breaking down complex systems into smaller, more manageable parts. Additionally, we will explore the concepts of side effects and mutability and how they can affect the overall quality of software. By understanding and applying these principles, developers can create software that is more robust, reliable, and scalable.

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