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High-Performance Programming in C# and .NET

You're reading from   High-Performance Programming in C# and .NET Understand the nuts and bolts of developing robust, faster, and resilient applications in C# 10.0 and .NET 6

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781800564718
Length 660 pages
Edition 1st Edition
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Author (1):
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Jason Alls Jason Alls
Author Profile Icon Jason Alls
Jason Alls
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Table of Contents (22) Chapters Close

Preface 1. Part 1: High-Performance Code Foundation
2. Chapter 1: Introducing C# 10.0 and .NET 6 FREE CHAPTER 3. Chapter 2: Implementing C# Interoperability 4. Chapter 3: Predefined Data Types and Memory Allocations 5. Chapter 4: Memory Management 6. Chapter 5: Application Profiling and Tracing 7. Part 2: Writing High-Performance Code
8. Chapter 6: The .NET Collections 9. Chapter 7: LINQ Performance 10. Chapter 8: File and Stream I/O 11. Chapter 9: Enhancing the Performance of Networked Applications 12. Chapter 10: Setting Up Our Database Project 13. Chapter 11: Benchmarking Relational Data Access Frameworks 14. Chapter 12: Responsive User Interfaces 15. Chapter 13: Distributed Systems 16. Part 3: Threading and Concurrency
17. Chapter 14: Multi-Threaded Programming 18. Chapter 15: Parallel Programming 19. Chapter 16: Asynchronous Programming 20. Assessments 21. Other Books You May Enjoy

Performing static code analysis

The purpose of static code analysis is to help you improve your overall architectural quality, code quality, and performance by doing the following:

  • Visualizing software architecture and its software dependencies
  • Enforcing the designated architectural rules regarding laying, subsystems, calling rules, and more
  • Identifying code that has been cloned and modified using cut, copy, and paste
  • Identifying dead code that can be removed
  • Calculating various software metrics
  • Performing code style checks and flagging violations

Many companies employ static code analysis as part of their Continuous Integration (CI) process. There are various stages at which problems can come to light. These stages are listed as follows:

  • When compiling source code in the IDE
  • When running unit tests and end-to-end system tests
  • When pushing source code to version control and issuing a pull request
  • When a pull request has been issued...
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