Modern C++ Design

Modern C++ Design

Author	Andrei Alexandrescu
Language	English
Subject	C++
Publisher	Addison-Wesley
Publication date	2001
Pages	323 pp
ISBN	978-0-201-70431-0
OCLC	45129236
Dewey Decimal	005.13/3 21
LC Class	QA76.73.C153 A42 2001

Modern C++ Design: Generic Programming and Design Patterns Applied is a book written by Andrei Alexandrescu, published in 2001 by Addison-Wesley. It has been regarded as "one of the most important C++ books" by Scott Meyers.^[1]

The book makes use of and explores a C++ programming technique called template metaprogramming. While Alexandrescu didn't invent the technique, he has popularized it among programmers. His book contains solutions to practical problems which C++ programmers may face. Several phrases from the book are now used within the C++ community as generic terms: modern C++ (as opposed to C/C++ style), policy-based design and typelist.^{[citation needed]}

All of the code described in the book is freely available in his library Loki. The book has been republished and translated into several languages since 2001.^{[citation needed]}

Policy-based design, also known as policy-based class design or policy-based programming, is the term used in Modern C++ Design for a design approach based on an idiom for C++ known as policies. It has been described as a compile-time variant of the strategy pattern, and has connections with C++ template metaprogramming. It was first popularized in C++ by Andrei Alexandrescu with Modern C++ Design and with his column Generic<Programming> in the C/C++ Users Journal, and it is currently closely associated with C++ and D as it requires a compiler with highly robust support for templates, which was not common before about 2003.

Previous examples of this design approach, based on parameterized generic code, include parametric modules (functors) of the ML languages,^[2] and C++ allocators for memory management policy.

The central idiom in policy-based design is a class template (called the host class), taking several type parameters as input, which are instantiated with types selected by the user (called policy classes), each implementing a particular implicit interface (called a policy), and encapsulating some orthogonal (or mostly orthogonal) aspect of the behavior of the instantiated host class. By supplying a host class combined with a set of different, canned implementations for each policy, a library or module can support an exponential number of different behavior combinations, resolved at compile time, and selected by mixing and matching the different supplied policy classes in the instantiation of the host class template. Additionally, by writing a custom implementation of a given policy, a policy-based library can be used in situations requiring behaviors unforeseen by the library implementor. Even in cases where no more than one implementation of each policy will ever be used, decomposing a class into policies can aid the design process, by increasing modularity and highlighting exactly where orthogonal design decisions have been made.

While assembling software components out of interchangeable modules is a far-fetched concept, policy-based design represents an innovation in a way it applies that concept at the (relatively low) level of defining the behavior of an individual class. Policy classes are similar to callbacks, but differ in that, rather than consisting of a single function, a policy class will typically contain several related functions (methods), often combined with state variables or other facilities such as nested types. A policy-based host class can be thought of as a type of metafunction, taking a set of behaviors represented by types as input, and returning as output a type representing the result of combining those behaviors into a functioning whole. (Unlike MPL metafunctions, however, the output is usually represented by the instantiated host class itself, rather than a nested output type.)

A key feature of the policy idiom is that, usually (though it is not strictly necessary), the host class will derive from (make itself a child class of) each of its policy classes using (public) multiple inheritance. (Alternatives are for the host class to merely contain a member variable of each policy class type, or else to inherit the policy classes privately; however, inheriting the policy classes publicly has the major advantage that a policy class can add new methods, inherited by the instantiated host class and accessible to its users, which the host class itself need not even know about.) A notable feature of this aspect of the policy idiom is that, relative to object-oriented programming, policies invert the relationship between base class and derived class - whereas in OOP interfaces are traditionally represented by (abstract) base classes and implementations of interfaces by derived classes, in policy-based design the derived (host) class represents the interfaces and the base (policy) classes implement them. In the case of policies, the public inheritance does not represent an is-a relationship between the host and the policy classes. While this would traditionally be considered evidence of a design defect in OOP contexts, this doesn't apply in the context of the policy idiom.

A disadvantage of policies in their current incarnation is that the policy interface doesn't have a direct, explicit representation in code, but rather is defined implicitly, via duck typing, and must be documented separately and manually, in comments. The main idea is to use commonality-variability analysis to divide the type into the fixed implementation and interface, the policy-based class, and the different policies. The trick is to know what goes into the main class, and what policies should one create. The article mentioned above gives the following answer: wherever we would need to make a possible limiting design decision, we should postpone that decision, we should delegate it to an appropriately named policy.

Policy classes can contain implementation, type definitions and so forth. Basically, the designer of the main template class will define what the policy classes should provide, what customization points they need to implement.

It may be a delicate task to create a good set of policies, just the right number (e.g., the minimum necessary). The different customization points, which belong together, should go into one policy argument, such as storage policy, validation policy and so forth. Graphic designers are able to give a name to their policies, which represent concepts, and not those which represent operations or minor implementation details.

Policy-based design may incorporate other useful techniques. For example, the template method pattern can be reinterpreted for compile time, so that a main class has a skeleton algorithm, which – at customization points – calls the appropriate functions of some of the policies.

This will be achieved dynamically by concepts^[3] in future versions of C++.

Presented below is a simple (contrived) example of a C++ hello world program, where the text to be printed and the method of printing it are decomposed using policies. In this example, HelloWorld is a host class where it takes two policies, one for specifying how a message should be shown and the other for the actual message being printed. Note that the generic implementation is in Run and therefore the code is unable to be compiled unless both policies (Print and Message) are provided.

#include <iostream> #include <string>  template <typename OutputPolicy, typename LanguagePolicy> class HelloWorld : private OutputPolicy, private LanguagePolicy {  public:   // Behavior method.   void Run() const {     // Two policy methods.     Print(Message());   }   private:   using LanguagePolicy::Message;   using OutputPolicy::Print; };  class OutputPolicyWriteToCout {  protected:   void Print(std::string&& message) const {     std::cout << message << std::endl;   } };  class LanguagePolicyEnglish {  protected:   std::string Message() const { return "Hello, World!"; } };  class LanguagePolicyGerman {  protected:   std::string Message() const { return "Hallo Welt!"; } };  int main() {   // Example 1   using HelloWorldEnglish = HelloWorld<OutputPolicyWriteToCout, LanguagePolicyEnglish>;    HelloWorldEnglish hello_world;   hello_world.Run();  // Prints "Hello, World!".    // Example 2   // Does the same, but uses another language policy.   using HelloWorldGerman = HelloWorld<OutputPolicyWriteToCout, LanguagePolicyGerman>;    HelloWorldGerman hello_world2;   hello_world2.Run();  // Prints "Hallo Welt!". } 

Designers can easily write more OutputPolicys by adding new classes with the member function Print and take those as new OutputPolicys.

Loki is the name of a C++ software library written by Andrei Alexandrescu as part of his book Modern C++ Design.

The library makes extensive use of C++ template metaprogramming and implements several commonly used tools: typelist, functor, singleton, smart pointer, object factory, visitor and multimethods.

Originally the library was only compatible with two of the most standard conforming C++ compilers (CodeWarrior and Comeau C/C++): later efforts have made it usable with a wide array of compilers (including older Visual C++ 6.0, Borland C++ Builder 6.0, Clang and GCC). Compiler vendors used Loki as a compatibility benchmark, further increasing the number of compliant compilers.^[4]

Maintenance and further development of Loki has been continued through an open-source community led by Peter Kümmel and Richard Sposato as a SourceForge project. Ongoing contributions by many people have improved the overall robustness and functionality of the library. Loki is not tied to the book anymore as it already has a lot of new components (e.g. StrongPtr, Printf, and Scopeguard). Loki inspired similar tools and functionality now also present in the Boost library collection.^{[citation needed]}

• Boost (C++ libraries)
• Mixin

• Alexandrescu's website (with book errata [1])
• Smart Pointers (sample chapter from the book)
• Loki on SourceForge
• Original source code from the book publisher