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Refactoring with C++

You're reading from   Refactoring with C++ Explore modern ways of developing maintainable and efficient applications

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781837633777
Length 368 pages
Edition 1st Edition
Languages
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Author (1):
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Mr. Dmitry Danilov Mr. Dmitry Danilov
Author Profile Icon Mr. Dmitry Danilov
Mr. Dmitry Danilov
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Table of Contents (18) Chapters Close

Preface 1. Chapter 1: Coding Standards in C++ 2. Chapter 2: Main Software Development Principles FREE CHAPTER 3. Chapter 3: Causes of Bad Code 4. Chapter 4: Identifying Ideal Candidates for Rewriting – Patterns and Anti-Patterns 5. Chapter 5: The Significance of Naming 6. Chapter 6: Utilizing a Rich Static Type System in C++ 7. Chapter 7: Classes, Objects, and OOP in C++ 8. Chapter 8: Designing and Developing APIs in C++ 9. Chapter 9: Code Formatting and Naming Conventions 10. Chapter 10: Introduction to Static Analysis in C++ 11. Chapter 11: Dynamic Analysis 12. Chapter 12: Testing 13. Chapter 13: Modern Approach to Managing Third Parties 14. Chapter 14: Version Control 15. Chapter 15: Code Review 16. Index 17. Other Books You May Enjoy

Compiler-based dynamic code analysis

Compiler-based sanitizers contain two parts: compiler instrumentation and runtime diagnostics:

  • Compiler instrumentation: When you compile your C++ code with sanitizers enabled, the compiler instruments the generated binary with additional checks. These checks are strategically inserted into the code to monitor for specific types of errors. For instance, ASan adds code to track memory allocations and accesses, enabling it to detect memory misuses such as buffer overflows and memory leaks.
  • Runtime diagnostics: As the instrumented program runs, these checks actively monitor the program’s behavior. When a sanitizer detects an error (such as a memory access violation or a data race), it immediately reports this, often with detailed information about the location and nature of the error. This real-time feedback is invaluable for identifying and fixing elusive bugs that might be difficult to catch through traditional testing.
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