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Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

If you enjoy my work, please consider supporting me on platforms like Patreon or subscribing to my YouTube channel. I am also open to job opportunities and collaborations in software development. Let's build something amazing together!

  • Email

    infor@spinncode.com
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    Nairobi, Kenya
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7 Months ago | 50 views

**Course Title:** Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques **Section Title:** Testing, Debugging, and Profiling **Topic:** Mocking and test-driven development (TDD) **Overview** In this topic, we will explore the concepts of mocking and test-driven development (TDD) in C++. We will learn how to use mocking to isolate dependencies and make our tests more efficient and effective. We will also learn how to implement TDD principles to drive our development process and ensure that our code is testable, maintainable, and efficient. **What is Mocking?** Mocking is a technique used in unit testing to isolate dependencies and make our tests more efficient. In traditional unit testing, we test the entire system, including all dependencies. However, this approach can make our tests slower and more prone to errors. Mocking allows us to replace these dependencies with mock objects that mimic the behavior of the dependencies but do not have the same dependencies. **Benefits of Mocking** * Isolates dependencies, making tests more efficient * Reduces coupling between components * Makes tests more maintainable and debuggable * Allows us to test components in isolation **Mocking in C++** There are several mocking frameworks available for C++, including: * **Google Mock**: A popular and widely-used mocking framework for C++. * **Mockcpp**: A lightweight and easy-to-use mocking framework for C++. Let's consider an example using Google Mock. Suppose we have a class called `WeatherService` that depends on a `WeatherApi` object: ```cpp class WeatherService { public: WeatherService(WeatherApi* api) : api_(api) {} std::string getWeather(const std::string& location) { return api_->getWeather(location); } private: WeatherApi* api_; }; ``` To test `WeatherService`, we can create a mock object for `WeatherApi` using Google Mock: ```cpp class WeatherApiMock : public WeatherApi { public: MOCK_METHOD(std::string, getWeather, (const std::string&), (override)); }; ``` We can then use this mock object in our test: ```cpp TEST(WeatherServiceTest, getWeather_ReturnsWeather) { // Create a mock WeatherApi object WeatherApiMock mockApi; EXPECT_CALL(mockApi, getWeather("New York")) .WillOnce(Return("Sunny")); // Create a WeatherService object with the mock Api WeatherService service(&mockApi); // Call getWeather and verify the result std::string weather = service.getWeather("New York"); EXPECT_EQ(weather, "Sunny"); } ``` **What is Test-Driven Development (TDD)?** TDD is a software development process that relies on the repetitive cycle of writing automated tests before writing the actual code. The process is as follows: 1. Write a test for a specific piece of functionality. 2. Run the test and see it fail. 3. Write the minimum amount of code necessary to pass the test. 4. Refactor the code to make it more maintainable and efficient. 5. Repeat the cycle for the next piece of functionality. **Benefits of TDD** * Ensures that our code is testable and maintainable * Reduces bugs and errors * Improves code quality and design * Provides immediate feedback and confidence in our code **Implementing TDD in C++** Let's consider an example of implementing TDD for a simple calculator class. We want to add a feature to calculate the sum of two numbers. 1. Write a test for the `add` method: ```cpp TEST(CalculatorTest, add_ReturnsSum) { Calculator calculator; EXPECT_EQ(calculator.add(2, 3), 5); } ``` 2. Run the test and see it fail. 3. Write the minimum amount of code necessary to pass the test: ```cpp class Calculator { public: int add(int a, int b) { return a + b; } }; ``` 4. Refactor the code to make it more maintainable and efficient. **Conclusion** In this topic, we have learned about mocking and TDD in C++. We have seen how mocking can be used to isolate dependencies and make our tests more efficient. We have also seen how TDD can be used to drive our development process and ensure that our code is testable, maintainable, and efficient. **External Resources** * Google Mock: <https://github.com/google/gtest/tree/master/googlemock> * Mockcpp: <https://mockcpp-dev.github.io/> * TDD: <https://www.agilealliance.org/glossary/tdd/> **Questions or Comments?** Please leave a comment or ask for help if you have any questions or need further clarification on any of the topics covered in this section. Next Topic: **Debugging tools: GDB, Valgrind, and sanitizers (address, thread, and memory).**
Course
C++
OOP
Templates
Multithreading
C++20

Mocking and Test-Driven Development (TDD) in C++.

**Course Title:** Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques **Section Title:** Testing, Debugging, and Profiling **Topic:** Mocking and test-driven development (TDD) **Overview** In this topic, we will explore the concepts of mocking and test-driven development (TDD) in C++. We will learn how to use mocking to isolate dependencies and make our tests more efficient and effective. We will also learn how to implement TDD principles to drive our development process and ensure that our code is testable, maintainable, and efficient. **What is Mocking?** Mocking is a technique used in unit testing to isolate dependencies and make our tests more efficient. In traditional unit testing, we test the entire system, including all dependencies. However, this approach can make our tests slower and more prone to errors. Mocking allows us to replace these dependencies with mock objects that mimic the behavior of the dependencies but do not have the same dependencies. **Benefits of Mocking** * Isolates dependencies, making tests more efficient * Reduces coupling between components * Makes tests more maintainable and debuggable * Allows us to test components in isolation **Mocking in C++** There are several mocking frameworks available for C++, including: * **Google Mock**: A popular and widely-used mocking framework for C++. * **Mockcpp**: A lightweight and easy-to-use mocking framework for C++. Let's consider an example using Google Mock. Suppose we have a class called `WeatherService` that depends on a `WeatherApi` object: ```cpp class WeatherService { public: WeatherService(WeatherApi* api) : api_(api) {} std::string getWeather(const std::string& location) { return api_->getWeather(location); } private: WeatherApi* api_; }; ``` To test `WeatherService`, we can create a mock object for `WeatherApi` using Google Mock: ```cpp class WeatherApiMock : public WeatherApi { public: MOCK_METHOD(std::string, getWeather, (const std::string&), (override)); }; ``` We can then use this mock object in our test: ```cpp TEST(WeatherServiceTest, getWeather_ReturnsWeather) { // Create a mock WeatherApi object WeatherApiMock mockApi; EXPECT_CALL(mockApi, getWeather("New York")) .WillOnce(Return("Sunny")); // Create a WeatherService object with the mock Api WeatherService service(&mockApi); // Call getWeather and verify the result std::string weather = service.getWeather("New York"); EXPECT_EQ(weather, "Sunny"); } ``` **What is Test-Driven Development (TDD)?** TDD is a software development process that relies on the repetitive cycle of writing automated tests before writing the actual code. The process is as follows: 1. Write a test for a specific piece of functionality. 2. Run the test and see it fail. 3. Write the minimum amount of code necessary to pass the test. 4. Refactor the code to make it more maintainable and efficient. 5. Repeat the cycle for the next piece of functionality. **Benefits of TDD** * Ensures that our code is testable and maintainable * Reduces bugs and errors * Improves code quality and design * Provides immediate feedback and confidence in our code **Implementing TDD in C++** Let's consider an example of implementing TDD for a simple calculator class. We want to add a feature to calculate the sum of two numbers. 1. Write a test for the `add` method: ```cpp TEST(CalculatorTest, add_ReturnsSum) { Calculator calculator; EXPECT_EQ(calculator.add(2, 3), 5); } ``` 2. Run the test and see it fail. 3. Write the minimum amount of code necessary to pass the test: ```cpp class Calculator { public: int add(int a, int b) { return a + b; } }; ``` 4. Refactor the code to make it more maintainable and efficient. **Conclusion** In this topic, we have learned about mocking and TDD in C++. We have seen how mocking can be used to isolate dependencies and make our tests more efficient. We have also seen how TDD can be used to drive our development process and ensure that our code is testable, maintainable, and efficient. **External Resources** * Google Mock: <https://github.com/google/gtest/tree/master/googlemock> * Mockcpp: <https://mockcpp-dev.github.io/> * TDD: <https://www.agilealliance.org/glossary/tdd/> **Questions or Comments?** Please leave a comment or ask for help if you have any questions or need further clarification on any of the topics covered in this section. Next Topic: **Debugging tools: GDB, Valgrind, and sanitizers (address, thread, and memory).**

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Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques

Course

Objectives

  • Understand and master core C++ concepts along with the latest C++20/23 features.
  • Write efficient, maintainable, and scalable C++ code using best practices.
  • Learn advanced object-oriented programming (OOP), templates, and metaprogramming in C++.
  • Gain hands-on experience with multithreading, memory management, and performance optimization.
  • Work with popular C++ libraries and understand modern tooling for debugging, testing, and version control.

Introduction to C++ and Environment Setup

  • Overview of C++: History, evolution, and use cases.
  • Setting up a development environment (IDE: Visual Studio, CLion, or VSCode).
  • Compiling, linking, and running C++ programs.
  • Basic syntax: Variables, data types, operators, and control structures.
  • Lab: Install and set up a C++ IDE, write and compile your first C++ program.

Data Structures and Algorithms in C++

  • Built-in data types and structures (arrays, strings, pointers).
  • STL containers: `std::vector`, `std::array`, `std::list`, and `std::map`.
  • STL algorithms: Sorting, searching, and manipulating containers.
  • Introduction to C++20 ranges and views for modern iteration.
  • Lab: Solve real-world problems using STL containers and algorithms.

Functions and Modular Programming

  • Defining and calling functions: Return types, parameters, and overloading.
  • Pass-by-value vs pass-by-reference, and `const` correctness.
  • Lambda expressions in modern C++.
  • Understanding inline functions and the `constexpr` keyword.
  • Lab: Write modular code using functions, with an emphasis on lambda expressions and constexpr.

Object-Oriented Programming (OOP) in C++

  • Understanding classes and objects in C++.
  • Constructors, destructors, and copy constructors.
  • Inheritance, polymorphism, virtual functions, and abstract classes.
  • The Rule of Three/Five/Zero and smart pointers (`std::unique_ptr`, `std::shared_ptr`).
  • Lab: Design a class-based system implementing inheritance and smart pointers.

Templates and Generic Programming

  • Understanding templates: Function and class templates.
  • Template specialization and overloading.
  • Variadic templates and fold expressions in C++17/20.
  • Concepts in C++20: Constraining templates with concepts.
  • Lab: Implement a generic data structure using templates and C++20 concepts.

Memory Management and Resource Management

  • Understanding dynamic memory allocation (`new`, `delete`, `malloc`, `free`).
  • RAII (Resource Acquisition Is Initialization) and smart pointers for resource management.
  • Memory leaks, dangling pointers, and best practices for avoiding them.
  • Modern memory management techniques using `std::unique_ptr`, `std::shared_ptr`, and `std::weak_ptr`.
  • Lab: Write a C++ program managing dynamic memory efficiently using RAII and smart pointers.

Multithreading and Concurrency

  • Introduction to multithreading in C++ with the `<thread>` library.
  • Synchronization primitives: Mutexes, condition variables, and locks.
  • Understanding deadlocks, race conditions, and strategies to avoid them.
  • Futures, promises, and asynchronous programming in C++17/20.
  • Lab: Implement a multithreaded program using mutexes and condition variables, and solve concurrency issues.

File I/O and Serialization

  • File input/output in C++: Working with file streams (`std::ifstream`, `std::ofstream`).
  • Reading and writing binary data to files.
  • Text and binary serialization techniques.
  • Using third-party libraries for serialization (e.g., Boost.Serialization).
  • Lab: Write a C++ program that reads from and writes to files, using both text and binary formats.

Error Handling and Exceptions

  • Introduction to exception handling: `try`, `catch`, `throw`.
  • Best practices for writing exception-safe code.
  • Modern alternatives: `std::optional`, `std::variant`, and `std::expected` in C++17/20.
  • Handling resources in exception handling: RAII revisited.
  • Lab: Develop a C++ program that gracefully handles errors and exceptions.

Testing, Debugging, and Profiling

  • Unit testing in C++: Introduction to testing frameworks (Google Test, Catch2).
  • Mocking and test-driven development (TDD).
  • Debugging tools: GDB, Valgrind, and sanitizers (address, thread, and memory).
  • Performance profiling using `gprof` and modern tools (perf, VTune).
  • Lab: Write unit tests for your C++ code and use a debugging tool to track down and fix a memory issue.

Advanced C++ Features: C++20 and Beyond

  • Introduction to C++20 features: Modules, coroutines, and concepts.
  • Coroutines in modern C++: Asynchronous programming and generators.
  • Using C++20 ranges for cleaner, more expressive code.
  • Modules in C++20: Breaking the limits of traditional header files.
  • Lab: Refactor existing code to utilize C++20 features like coroutines and ranges.

C++ Libraries and Real-World Applications

  • Overview of popular C++ libraries: Boost, Qt, and others.
  • Building and integrating third-party libraries into your project.
  • Cross-platform development with CMake and other build systems.
  • Modern deployment techniques: Docker, cloud platforms, and CI/CD pipelines.
  • Lab: Build a small C++ project using CMake and deploy it using Docker.

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