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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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Preparing for code reviews

Before delving into the collaborative process of code reviews, teams must prepare adequately to ensure that these reviews are as effective and efficient as possible. This preparation not only sets the stage for a smoother review process but also minimizes the time spent on avoidable issues, allowing teams to focus on more substantive and impactful discussions.

Clear guidelines

The foundation of an effective code review process is the establishment and documentation of clear, specific coding guidelines tailored to C++. These guidelines should cover various aspects of coding, including style, practices, and the use of language-specific features. By setting these standards, teams create a common language that reduces ambiguity and ensures consistency across the codebase.

Incorporating as much automation as possible into these guidelines can significantly streamline the review process. Tools such as formatters ensure a consistent coding style, while...

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