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Software Architecture with C++

You're reading from   Software Architecture with C++ Design modern systems using effective architecture concepts, design patterns, and techniques with C++20

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781838554590
Length 540 pages
Edition 1st Edition
Languages
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Authors (2):
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Adrian Ostrowski Adrian Ostrowski
Author Profile Icon Adrian Ostrowski
Adrian Ostrowski
Piotr Gaczkowski Piotr Gaczkowski
Author Profile Icon Piotr Gaczkowski
Piotr Gaczkowski
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Toc

Table of Contents (24) Chapters Close

Preface 1. Section 1: Concepts and Components of Software Architecture
2. Importance of Software Architecture and Principles of Great Design FREE CHAPTER 3. Architectural Styles 4. Functional and Nonfunctional Requirements 5. Section 2: The Design and Development of C++ Software
6. Architectural and System Design 7. Leveraging C++ Language Features 8. Design Patterns and C++ 9. Building and Packaging 10. Section 3: Architectural Quality Attributes
11. Writing Testable Code 12. Continuous Integration and Continuous Deployment 13. Security in Code and Deployment 14. Performance 15. Section 4: Cloud-Native Design Principles
16. Service-Oriented Architecture 17. Designing Microservices 18. Containers 19. Cloud-Native Design 20. Assessments 21. About Packt 22. Other Books You May Enjoy Appendix A

Summary

This chapter focused both on the architectural and technical aspects of testing different parts of the software. We looked at the testing pyramid to understand how different kinds of tests contribute to the overall health and stability of a software project. Since testing can be both functional and non-functional, we saw some examples of both these types.

One of the most important things to remember from this chapter is that tests are not the end stage. We want to have them not because they bring immediate value, but because we can use them to check for known regressions, when refactoring, or when we're changing the behavior of existing parts of the system. Tests can also prove useful when we want to perform root cause analysis as they can quickly verify different hypotheses.

Having established the theoretical requirements, we showed examples of the different testing frameworks and libraries we can use to write test doubles. Even though writing tests first and their implementation...

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