Chapter 15: Testing and Debugging

In this section

• 15.1 Importance of Testing in Functional Programming
  • 15.1.1 Testing Pure Functions
    Explore how the functional programming paradigm and its emphasis on pure functions simplify and enhance the reliability of testing in Clojure.
  • 15.1.2 The Role of Tests in Code Quality
    Learn how thorough testing enhances code quality, maintainability, and developer confidence in Clojure applications.
• 15.2 Unit Testing with `clojure.test`
  • 15.2.1 Introduction to `clojure.test`
    A guide to understanding the `clojure.test` framework, its features, and writing test cases in Clojure using `deftest` and `is`.
  • 15.2.2 Writing Effective Unit Tests
    Master the art of writing effective unit tests in Clojure with 'clojure.test', including handling edge cases, using test fixtures, and structuring test namespaces for robust applications.
  • 15.2.3 Running Tests and Analyzing Results
    Discover how to effectively run and analyze unit tests in Clojure using the command line, Leiningen, or an IDE, and resolve test failures.
• 15.3 Property-Based Testing with `test.check`
  • 15.3.1 Understanding Property-Based Testing
    Discover the insight into property-based testing, a method of establishing correctness via invariants over diverse input ranges in Clojure using `test.check`.
  • 15.3.2 Using `test.check`
    Explore property-based testing in Clojure using the `test.check` library, showcasing how to define generators and properties with practical examples.
  • 15.3.3 Benefits and Challenges
    Explore the benefits and challenges of property-based testing with Clojure's test.check for increased test coverage and effective debugging.
• 15.4 Integration and System Testing
  • 15.4.1 Testing Interactions Between Components
    Explore the significance of integration testing in Clojure to ensure that various components of your application function seamlessly together.
  • 15.4.2 Tools for Integration Testing
    Explore essential tools for integration testing in Clojure, including `clojure.test` enhancements and third-party libraries, to ensure seamless application integration.
  • 15.4.3 System Testing Strategies
    Explore different system testing approaches for Clojure applications, including end-to-end testing and simulating external dependencies.
• 15.5 Mocking and Stubbing in Clojure
  • 15.5.1 Purpose of Mocks and Stubs
    Explore when and why to use mocking and stubbing in Clojure tests, especially when handling side effects and external systems.
  • 15.5.2 Mocking Libraries
    Explore mocking libraries and techniques in Clojure for effective testing, such as clojure.test.mock and with-redefs, to simulate and replace functions during testing processes.
  • Writing Tests with Mocks
    Explore how to write tests using mocks or stubs in Clojure to isolate code and improve test accuracy and efficiency.
• 15.6 Debugging Techniques and Tools
  • 15.6.1 Debugging in the REPL
    Learn how to use the REPL for debugging in Clojure, including techniques for inspecting values, testing functions interactively, and examining stack traces effectively.
  • 15.6.2 Logging for Debugging
    Explore effective logging practices to enhance debugging with Clojure by configuring logging levels and formatting messages for clarity.
  • 15.6.3 Debugging Tools
    Explore essential debugging tools in Clojure, including nREPL, CIDER, and Cursive for effective error diagnosis and resolution.
• 15.7 Profiling and Performance Analysis
  • 15.7.1 Profiling Clojure Applications
    Learn to profile Clojure applications for identifying performance bottlenecks using JVM profiling tools.
  • 15.7.2 Instrumentation for Performance Monitoring
    Adding instrumentation to Clojure applications for collecting metrics like execution time and memory usage to enhance performance monitoring.
  • 15.7.3 Analyzing Performance Data
    Learn how to interpret profiling data in Clojure and make informed decisions about optimizing your code.
• 15.8 Continuous Integration and Deployment
  • 15.8.1 Setting Up Continuous Integration (CI)
    Explore the benefits of Continuous Integration and learn to set up automated builds and tests using tools like Jenkins, Travis CI, or GitHub Actions for Clojure applications.
  • 15.8.2 Automating Tests and Builds
    Learn how to configure Continuous Integration pipelines to automate tests, code quality checks, and build artifacts using Clojure.
  • 15.8.3 Continuous Deployment (CD)
    Explore strategies and best practices for continuous deployment, focusing on automated releases, rollbacks, and deployment pipelines in Clojure applications.
• 15.9 Code Coverage and Quality Metrics
  • 15.9.1 Measuring Code Coverage
    Learn about using tools like cloverage to measure code coverage in Clojure projects and how to interpret the results to ensure quality assurance.
  • 15.9.2 Analyzing Quality Metrics
    Explore the use of metrics such as cyclomatic complexity and code smells to enhance code quality, and learn about tools like eastwood and kibit for analyzing Clojure code.
  • 15.9.3 Improving Code Quality
    Explore strategies for enhancing code quality through refactoring, testing, and adherence to coding standards in Clojure.
• 15.10 Best Practices in Testing
  • 15.10.1 Test-Driven Development (TDD)
    Explore the principles of Test-Driven Development (TDD) and how to apply them effectively in Clojure development, complete with practical examples of writing tests before code.
  • 15.10.2 Writing Maintainable Tests
    Learn strategies for creating tests that remain clear, easy to maintain, and adaptable, enabling efficient updates as your Clojure codebase evolves.
  • 15.10.3 Balancing Test Coverage and Effort
    Explore strategies for balancing the benefits of high test coverage with the effort involved, focusing on critical code paths to maximize testing efficiency.
  • 15.10.4 Continuous Improvement
    Learn the significance of refining the testing process in Clojure projects by integrating feedback and adapting to evolving project requirements.