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Improving your C# Skills

You're reading from   Improving your C# Skills Solve modern challenges with functional programming and test-driven techniques of C#

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Product type Course
Published in Feb 2019
Publisher
ISBN-13 9781838558383
Length 606 pages
Edition 1st Edition
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Authors (4):
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Ovais Mehboob Ahmed Khan Ovais Mehboob Ahmed Khan
Author Profile Icon Ovais Mehboob Ahmed Khan
Ovais Mehboob Ahmed Khan
Clayton Hunt Clayton Hunt
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Clayton Hunt
John Callaway John Callaway
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John Callaway
Rod Stephens Rod Stephens
Author Profile Icon Rod Stephens
Rod Stephens
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Table of Contents (26) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. What's New in .NET Core 2 and C# 7? FREE CHAPTER 2. Understanding .NET Core Internals and Measuring Performance 3. Multithreading and Asynchronous Programming in .NET Core 4. Securing and Implementing Resilience in .NET Core Applications 5. Why TDD is Important 6. Setting Up the .NET Test Environment 7. Setting Up a JavaScript Environment 8. What to Know Before Getting Started 9. Tabula Rasa – Approaching an Application with TDD in Mind 10. Testing JavaScript Applications 11. Exploring Integrations 12. Changes in Requirements 13. The Legacy Problem 14. Unraveling a Mess 15. Geometry 16. Randomization 17. Files and Directories 18. Advanced C# and .NET Features 19. Cryptography 1. Other Books You May Enjoy Index

Issues that prevent adding tests 


Deadlines are tight. The scope is ever changing. We just don't have time to write tests. It's more important to get functionality out the door. We've all been there. Whatever the case may be, sometimes you will find yourself working on a project that was not written with testing in mind.

Note

There never seems to be enough time to do it right, but there's always time to do it over.

So, what are the issues you might face that would prevent you from adding tests to a legacy application?

When a system wasn't written with testing in mind, it can be quite difficult to go back and add tests at a later date. Classes with concrete dependencies and tight coupling make software applications difficult to test. Things such as large classes and functions, Law of Demeter violations, global state, and static methods can also make for a system that can be very difficult to test.

Much like building a house by starting with a shaky foundation, untestable code begets untestable...

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