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Python Architecture Patterns

You're reading from   Python Architecture Patterns Master API design, event-driven structures, and package management in Python

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801819992
Length 594 pages
Edition 1st Edition
Languages
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture FREE CHAPTER 2. Part I: Design
3. API Design 4. Data Modeling 5. The Data Layer 6. Part II: Architectural Patterns
7. The Twelve-Factor App Methodology 8. Web Server Structures 9. Event-Driven Structures 10. Advanced Event-Driven Structures 11. Microservices vs Monolith 12. Part III: Implementation
13. Testing and TDD 14. Package Management 15. Part IV: Ongoing operations
16. Logging 17. Metrics 18. Profiling 19. Debugging 20. Ongoing Architecture 21. Other Books You May Enjoy
22. Index

Testing philosophy

A key element of everything involved with testing is another question: Why test? What are we trying to achieve with it?

As we've seen, testing is a way of ensuring that the behavior of the code is the expected one. The objective of testing is to detect possible problems (sometimes called defects) before the code is published and used by real users.

There's a subtle difference between defects and bugs. Bugs are a kind of defect where the software behaves in a way that it's not expected to. For example, certain input produces an unexpected error. Defects are more general. A defect could be that a button is not visible enough, or that the logo on a page is not the correct one. In general, tests are way better at detecting bugs than other defects, but remember what we said about exploratory testing.

A defect that goes undetected and gets deployed into a live system is pretty expensive to repair. First of all, it needs to be detected...

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