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Refactoring with C++

Refactoring with C++

By : Dmitry Danilov
5 (2)
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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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Dynamic Analysis

In the intricate world of software development, ensuring the correctness, efficiency, and security of code is not just a goal but a necessity. This is particularly true in C++ programming, where the power and complexity of the language present both opportunities and challenges. One of the most effective approaches to maintaining high code quality in C++ is dynamic code analysis – a process that scrutinizes program behavior as it runs to detect a range of potential issues.

Dynamic code analysis stands in contrast to static analysis, which examines source code without executing it. While static analysis is invaluable for catching syntax errors, code smells, and certain types of bugs early in the development cycle, dynamic analysis delves deeper. It uncovers issues that only manifest during the actual execution of the program, such as memory leaks, race conditions, and other runtime errors that can lead to crashes, erratic behavior, or security vulnerabilities...

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