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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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Summary

This chapter delved into the essential practices and principles of conducting effective code reviews, a critical component of the software development process in C++. Through a series of structured sub-chapters, we have explored various aspects of the code review process that collectively ensure high-quality, maintainable code while fostering a positive team environment.

We began by discussing the origins of code reviews, introduced in the 1970s by Michael Fagan, highlighting its transformational role in moving software development from an isolated task to a collaborative effort that enhances code quality and reduces bugs.

In the Preparing for code reviews section, we emphasized the importance of clear guidelines and self-review. Developers are encouraged to use tools such as linters and static analyzers to refine their code before it undergoes peer review, ensuring adherence to coding standards and reducing the iterative cycle of code revisions.

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