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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

Other notable tools in the Valgrind suite

In addition to Helgrind, the Valgrind suite includes several other tools, each with distinct functionalities catering to different aspects of program analysis and performance profiling.

Data Race Detector (DRD) – a thread error detector

DRD is another tool for detecting thread errors, similar to Helgrind. It focuses specifically on identifying data races in multithreaded programs. While both Helgrind and DRD are designed to detect threading issues, DRD is more optimized for detecting data races and generally has a lower performance overhead compared to Helgrind. DRD might produce fewer false positives in certain scenarios but may not be as thorough as Helgrind in detecting all kinds of synchronization errors.

Cachegrind

Cachegrind is a cache and branch-prediction profiler. It provides detailed information about how your program interacts with the computer’s cache hierarchy and the efficiency of branch prediction. This...

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