Implementing policy-based design using variadic templates in C++

Policy-Based Design is a powerful technique in C++ that allows for flexible customization of class behavior through the use of different policy classes. Variadic templates further enhance this approach by enabling the use of multiple policies simultaneously.

In this blog post, we will explore how to implement Policy-Based Design using variadic templates in C++. We will walk through an example that demonstrates the concept and highlights the benefits of this approach.

What is Policy-Based Design?

Policy-Based Design is a design technique that promotes code reuse and flexibility through the separation of concerns. It involves creating a class that is composed of several smaller, interchangeable policy classes, each responsible for a specific aspect of the class’s behavior.

By using different policies, we can customize the behavior of the class without modifying its core implementation. This decoupling allows for easy extensibility and adaptability, as well as the ability to mix and match policies to create different variations of the class.

Variadic Templates in C++

Variadic templates were introduced in C++11 and allow us to define functions and classes that take a variable number of arguments. This flexibility provides a powerful tool for implementing policy-based designs.

With variadic templates, we can pass any number of policies as template arguments to a class or a function, allowing for dynamic composition of behavior at compile-time.

Example: Logging and Caching Policies

Let’s consider a simple example where we have a class called Calculator that performs basic arithmetic operations. We want to add logging and caching functionality to this class using policy classes.

template<typename... Policies>
class Calculator : public Policies...
{
public:
    Calculator() = default;
  
    int add(int a, int b)
    {
        int result = a + b;
        log("add", a, b, result); // Logging policy
        cache(result); // Caching policy
        return result;
    }

private:
    // Logging policy implementation
    void log(const std::string& operation, int a, int b, int result)
    {
        // Logging implementation
    }
  
    // Caching policy implementation
    void cache(int result)
    {
        // Caching implementation
    }
};

In this example, the Calculator class is a variadic template that takes one or more policy classes as template arguments. The policies are inherited from, enabling access to their member functions.

In the add function, the logging and caching policies are invoked to log the operation and cache the result, respectively. By adding more policies as template arguments, we can further extend the behavior of the Calculator class without modifying its core logic.

Benefits of Policy-Based Design with Variadic Templates

Implementing Policy-Based Design using variadic templates offers several advantages:

  1. Code Reusability: Policies can be individually reused in multiple classes, promoting code reuse and reducing duplication.

  2. Flexibility: Adding or modifying class behavior becomes seamless by mixing and matching different policies.

  3. Compile-Time Customization: Policies are resolved at compile-time, eliminating runtime overhead associated with dynamic behavior customization.

Conclusion

Implementing Policy-Based Design using variadic templates in C++ provides a flexible and extensible way to customize class behavior. By separating concerns into individual policy classes, we can easily modify, reuse, and combine policies to create variations of a class without modifying its core implementation.

Variadic templates allow us to dynamically compose behavior at compile-time, resulting in efficient and optimized code. This approach leads to code that is more modular, maintainable, and adaptable to changing requirements.

#cpp #policybaseddesign #variadictemplates