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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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The essence of static analysis

Static analysis is the examination of source code without executing it. This process, typically automated by various tools, involves scanning the code to identify potential errors, code smells, security vulnerabilities, and other issues. It’s akin to a thorough proofreading session where the code is scrutinized for quality and reliability before it ever runs.

Why static analysis? Here are the reasons:

  • Speed and cost-effectiveness: The foremost advantage of static analysis is its speed and cost-effectiveness. It is arguably the fastest and cheapest method to find bugs. Automating the detection of issues drastically reduces the time and effort required compared to manual code reviews and other testing methods. Catching and resolving issues early in the development cycle significantly lowers the cost of fixes, which escalates if bugs are found later in production.
  • Pre-execution bug detection: Static analysis occurs before the code is...

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