文件名称：Developer.Testing.Building.Quality.into.Software
文件大小：9.06MB
文件格式：PDF
更新时间：2019-11-21 05:32:40
Developer Testing
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