Book Image

Test-Driven Development in Go

By : Adelina Simion
Book Image

Test-Driven Development in Go

By: Adelina Simion

Overview of this book

Experienced developers understand the importance of designing a comprehensive testing strategy to ensure efficient shipping and maintaining services in production. This book shows you how to utilize test-driven development (TDD), a widely adopted industry practice, for testing your Go apps at different levels. You’ll also explore challenges faced in testing concurrent code, and learn how to leverage generics and write fuzz tests. The book begins by teaching you how to use TDD to tackle various problems, from simple mathematical functions to web apps. You’ll then learn how to structure and run your unit tests using Go’s standard testing library, and explore two popular testing frameworks, Testify and Ginkgo. You’ll also implement test suites using table-driven testing, a popular Go technique. As you advance, you’ll write and run behavior-driven development (BDD) tests using Ginkgo and Godog. Finally, you’ll explore the tricky aspects of implementing and testing TDD in production, such as refactoring your code and testing microservices architecture with contract testing implemented with Pact. All these techniques will be demonstrated using an example REST API, as well as smaller bespoke code examples. By the end of this book, you’ll have learned how to design and implement a comprehensive testing strategy for your Go applications and microservices architecture.
Table of Contents (18 chapters)
1
Part 1: The Big Picture
6
Part 2: Integration and End-to-End Testing with TDD
11
Part 3: Advanced Testing Techniques

Chapter 10, Testing Edge Cases

  1. A robust system is one that continues to function correctly, even when supplied with unexpected or exceptional inputs. When errors or unexpected inputs occur, the system is able to handle them gracefully without panics and return meaningful errors. Robust code is readable, maintainable, and easy to test.
  2. Fuzz testing is a software testing technique that involves generating a large amount of random data, which is then passed to the fuzz target in an attempt to verify its behavior against a wide range of parameters. Fuzz testing makes it easier to uncover bugs by reducing the number of tests we need to write manually to cover edge cases of input variables.
  3. A fuzzed test begins with the Fuzz prefix, takes in a single *testing.F parameter, and returns no values. Just like other tests, they must be defined inside _test.go files. They are run using the go test command.
  4. Property-based testing is a technique that involves the generation and verification...