Test-driven Python development : develop high-quality and maintainable Python applications using the principles of test-driven development /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Govindaraj, Siddharta (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2015.
Colección:Community experience distilled.
Temas:
Python (Computer program language)
Application software > Development.
Application software > Testing.
Computer software > Testing.
Python (Langage de programmation)
Logiciels d'application > Développement.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Application software > Development
Application software > Testing
Computer software > Testing
Acceso en línea:Texto completo
Texto completo
Tabla de Contenidos:
  • Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Test-driven Development; Prerequisites; Understanding test-driven development; TDD versus unit testing versus integration testing; Using TDD to build a stock alert application; Writing our first test; Analyzing the test output; Test errors versus test failures; Making the test pass; Reorganizing the test code; Running the tests after the reorganization; Summary; Chapter 2: Red-Green-Refactor
  • The TDD Cycle
  • Tests are executable requirementsArrange-Act-Assert; Documenting our tests; Testing for exceptions; Exploring assert methods; Specific asserts versus generic asserts; Setup and teardown; Brittle tests; Refactoring the design; Refactoring tests; Exploring the Rule classes; Exercise; Summary; Chapter 3: Code Smells and Refactoring; A dual crossover moving average; Implementing the dual crossover moving average; Identifying code smells; Refactoring; The Rename Variable and Rename Method refactorings; Commenting Styles; Replace Magic Literals with Constants; The Extract Method refactoring
  • Replace Calculation with Temporary VariableExtract Conditional to Method; The DRY principle; Single Responsibility Principle; Extract Class; Move Method to Class; The importance of tests; Exercise; Wrapping up; Summary; Chapter 4: Using Mock Objects to Test Interactions; Hand writing a simple mock; Using the Python mocking framework; Mocking objects; Mocking return values; Mocking side effects; How much mocking is too much?; Mocks versus stubs versus fakes versus spies; Patching methods; An important gotcha when patching; Tying it all together; Summary; Chapter 5: Working with Legacy Code
  • What is legacy code?Understanding the code; What are characterization tests?; Using the Python interactive shell to understand the code; Writing a characterization test; Using pdb to understand the code; Some common pdb commands; Walking through a pdb session; Techniques to break dependencies; The Rope refactoring library; Separate initialization from execution; Use default values for parameters; Extract the method and test; Inject dependencies; Inherit and test; Stubbing local methods; Extract the method and stub; The cycle continues; Time to refactor; Long-term refactoring; Summary
  • Chapter 6: Maintaining Your Test SuiteGoals of test maintenance; Organizing tests; Filesystem layout; Naming conventions; Test suite grouping; Making tests readable; Using docstrings; Using fixtures; Fixtures and patching; Using a custom test case class hierarchy; Writing tests closer to the domain; Writing helper methods; Writing better asserts; Using custom equality checkers; Using matchers; Summary; Chapter 7: Executable Documentation with doctest; Our first doctest; Running the doctest; Test failures; Testing for exceptions; Package-level doctests; Maintaining doctests

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