How do successful agile teams deliver bug-free, maintainable software—iteration after iteration? The answer is: By seamlessly combining development and testing. On such teams, the developers write testable code that enables them to verify it using various types of automated tests. This approach keeps regressions at bay and prevents “testing crunches”—which otherwise may occur near the end of an iteration—from ever happening. Writing testable code, however, is often difficult, because it requires knowledge and skills that cut across multiple disciplines.
In Developer Testing, leading test expert and mentor Alexander Tarlinder presents concise, focused guidance for making new and legacy code far more testable. Tarlinder helps you answer questions like: When have I tested this enough? How many tests do I need to write? What should my tests verify? You’ll learn how to design for testability and utilize techniques like refactoring, dependency breaking, unit testing, data-driven testing, and test-driven development to achieve the highest possible confidence in your software. Through practical examples in Java, C#, Groovy, and Ruby, you’ll discover what works—and what doesn’t.
You can quickly begin using Tarlinder’s technology-agnostic insights with most languages and toolsets while not getting buried in specialist details. The author helps you adapt your current programming style for testability, make a testing mindset “second nature,” improve your code, and enrich your day-to-day experience as a software professional. With this guide, you will
Understand the discipline and vocabulary of testing from the developer’s standpoint
Base developer tests on well-established testing techniques and best practices
Recognize code constructs that impact testability
Effectively name, organize, and execute unit tests
Master the essentials of classic and “mockist-style” TDD
Leverage test doubles with or without mocking frameworks
Capture the benefits of programming by contract, even without runtime support for contracts
Take control of dependencies between classes, components, layers, and tiers
Handle combinatorial explosions of test cases, or scenarios requiring many similar tests
Manage code duplication when it can’t be eliminated
Actively maintain and improve your test suites
Perform more advanced tests at the integration, system, and end-to-end levels
Develop an understanding for how the organizational context influences quality assurance
Establish well-balanced and effective testing strategies suitable for agile teams
Table of Contents
Chapter 1 Developer Testing
Chapter 2 Testing Objectives, Styles, and Roles
Chapter 3 The Testing Vocabulary
Chapter 4 Testability from a Developer’s Perspective
Chapter 5 Programming by Contract
Chapter 6 Drivers of Testability
Chapter 7 Unit Testing
Chapter 8 Specification-based Testing Techniques
Chapter 9 Dependencies
Chapter 10 Data-driven and Combinatorial Testing
Chapter 11 Almost Unit Tests
Chapter 12 Test Doubles
Chapter 13 Mocking Frameworks
Chapter 14 Test-driven Development—Classic Style
Chapter 15 Test-driven Development—Mockist Style
Chapter 16 Duplication
Chapter 17 Working with Test Code
Chapter 18 Beyond Unit Testing
Chapter 19 Test Ideas and Heuristics
Appendix A: Tools and Libraries
Appendix B: Source Code
