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Refactoring with C#

You're reading from Refactoring with C# Safely improve .NET applications and pay down technical debt with Visual Studio, .NET 8, and C# 12

Product type Paperback

Published in Nov 2023

Publisher

ISBN-13 9781835089989

Length 434 pages

Edition 1st Edition

Languages

C#

Tools

.NET

Concepts

Programming Language

Author (1):

Matt Eland

View More author details

Table of Contents (24) Chapters

Preface

1. Part 1: Refactoring with C# in Visual Studio FREE CHAPTER

2. Chapter 1: Technical Debt, Code Smells, and Refactoring

3. Chapter 2: Introduction to Refactoring

4. Chapter 3: Refactoring Code Flow and Iteration

5. Chapter 4: Refactoring at the Method Level

6. Chapter 5: Object-Oriented Refactoring

7. Part 2: Refactoring Safely

8. Chapter 6: Unit Testing

9. Chapter 7: Test-Driven Development

10. Chapter 8: Avoiding Code Anti-Patterns with SOLID

11. Chapter 9: Advanced Unit Testing

12. Chapter 10: Defensive Coding Techniques

13. Part 3: Advanced Refactoring with AI and Code Analysis

14. Chapter 11: AI-Assisted Refactoring with GitHub Copilot

15. Chapter 12: Code Analysis in Visual Studio

16. Chapter 13: Creating a Roslyn Analyzer

17. Chapter 14: Refactoring Code with Roslyn Analyzers

18. Part 4: Refactoring in the Enterprise

19. Chapter 15: Communicating Technical Debt

20. Chapter 16: Adopting Code Standards

21. Chapter 17: Agile Refactoring

22. Index

Why subscribe?

23. Other Books You May Enjoy

Further reading

You can find more information about code analysis at these URLs:

Code Metrics Values: https://learn.microsoft.com/en-us/visualstudio/code-quality/code-metrics-values
Overview of .NET source code analysis: https://learn.microsoft.com/en-us/dotnet/fundamentals/code-analysis/overview
SonarCloud: https://www.sonarsource.com/products/sonarcloud/
NDepend: https://www.ndepend.com/

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Authors (1)

Matt Eland

Matt Eland

Matt Eland is a senior software engineering and data science consultant at Leading EDJE in Columbus, Ohio. He loves sharing his journey by teaching software engineering, AI, and data science concepts in the most engaging ways possible. Matt has used machine learning to settle debates over whether certain movies are Christmas movies, reinforcement learning to create digital attack squirrels, data analytics to suggest improvements to his favorite TV show, and AI agents to play board games and create an AI agent with the personality of a dog. He is the author of multiple books and courses, helps organize a user group and regional conferences, holds a Master's of Science in Data Analytics, and is a 2x Microsoft MVP in AI and .NET.

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