Loose coupling with IoC DIP DI & IoC Container

The terms Inversion of Control (IoC), Dependency Inversion Principle (DIP), Dependency Injection (DI), and IoC containers may be familiar. But are you clear about what each term means?

Here, you are going to learn about each term, using simple and real-world examples to clear your confusion. Before you go further, it is important to understand the difference between principle and pattern.

Now, let's understand the above buzz words. The following figure clarifies whether they are principles or patterns.

As illustrated in the above figure, IoC and DIP are high level design principles which should be used while designing application classes. As they are principles, they recommend certain best practices but do not provide any specific implementation details. Dependency Injection (DI) is a pattern and IoC container is a framework.

Let's have an overview of each term before going into details.

Inversion of Control

IoC is a design principle which recommends the inversion of different kinds of controls in object-oriented design to achieve loose coupling between application classes. In this case, control refers to any additional responsibilities a class has, other than its main responsibility, such as control over the flow of an application, or control over the dependent object creation and binding (Remember SRP - Single Responsibility Principle). If you want to do TDD (Test Driven Development), then you must use the IoC principle, without which TDD is not possible. Learn about IoC in detail in the next chapter.

Dependency Inversion Principle

The DIP principle also helps in achieving loose coupling between classes. It is highly recommended to use DIP and IoC together in order to achieve loose coupling.

DIP suggests that high-level modules should not depend on low level modules. Both should depend on abstraction.

The DIP principle was invented by Robert Martin (a.k.a. Uncle Bob). He is a founder of the SOLID principles. Learn more about DIP in the DIP chapter.

Dependency Injection

Dependency Injection (DI) is a design pattern which implements the IoC principle to invert the creation of dependent objects. We will learn about it in the DI chapter.

IoC Container

The IoC container is a framework used to manage automatic dependency injection throughout the application, so that we as programmers do not need to put more time and effort into it. There are various IoC Containers for .NET, such as Unity, Ninject, StructureMap, Autofac, etc. We will learn more about this in the IoC Container chapter.

We cannot achieve loosely coupled classes by using IoC alone. Along with IoC, we also need to use DIP, DI and IoC container. The following figure illustrates how we are going to achieve loosely coupled design step by step in the next few chapters.

Reference websites

http://www.oodesign.com/

Head first design pattern

Chapter 1: Strategy Pattern

The one constant in soft ware development: CHANGE
Design Principle 1:
Identify the aspects of your application that vary and separate them from what stays the same.(take the parts that vary and encapsulate them, so that later you can alter or extend the parts that vary without affecting those that don’t.)
Design Principle 2:
Program to an interface, not an implementation.
Design Principle 3:
Favor composition over inheritance.

Strategy

The Strategy Pattern defines a family of algorithms,
encapsulates each one, and makes them interchangeable.
Strategy lets the algorithm vary independently from
clients that use it.

Facade

The Facade Pattern provides a unified interface to a set of interfaces in a subsytem. Facade defines a higherlevel interface that makes the subsystem easier to use.

Singleton

Software design pattern

n software engineering, a software design pattern is a general reusable solution to a commonly occurring problem within a given context in software design. It is not a finished design that can be transformed directly into source or machine code. It is a description or template for how to solve a problem that can be used in many different situations. Design patterns are formalized best practices that the programmer can use to solve common problems when designing an application or system.
Object-oriented design patterns typically show relationships and interactions between classes or objects, without specifying the final application classes or objects that are involved. Patterns that imply mutable state may be unsuited for functional programming languages, some patterns can be rendered unnecessary in languages that have built-in support for solving the problem they are trying to solve, and object-oriented patterns are not necessarily suitable for non-object-oriented languages.
Design patterns may be viewed as a structured approach to computer programming intermediate between the levels of a programming paradigm and a concrete algorithm.

Contents

• 1 Types
• 2 History
• 3 Practice
• 4 Structure
  • 4.1 Domain-specific patterns
• 5 Classification and list
  • 5.1 Creational patterns
  • 5.2 Structural patterns
  • 5.3 Behavioral patterns
  • 5.4 Concurrency patterns
• 6 Documentation
• 7 Criticism
• 8 See also
• 9 References
• 10 Further reading

Types

Design patterns reside in the domain of modules and interconnections. At a higher level there are architectural patterns which are larger in scope, usually describing an overall pattern followed by an entire system.^[1]
There are many types of design patterns, for instance ^[2][3]

Algorithm strategy patterns

Addressing concerns related to high-level strategies describing how to exploit application characteristics on a computing platform.^{[clarification needed]}

Computational design patterns

Addressing concerns related to key computation identification.^[4][5]

Execution patterns

Which address issues related to lower-level support of application execution, including strategies for executing streams of tasks and for the definition of building blocks to support task synchronization.

Implementation strategy patterns

Addressing concerns related to implementing source code to support

1. program organization, and
2. the common data structures specific to parallel programming.

Structural design patterns

Addressing concerns related to global structures of applications being developed.

History

Patterns originated as an architectural concept by Christopher Alexander (1977/79). In 1987, Kent Beck and Ward Cunningham began experimenting with the idea of applying patterns to programming – specifically pattern languages – and presented their results at the OOPSLA conference that year.^[6][7] In the following years, Beck, Cunningham and others followed up on this work.
Design patterns gained popularity in computer science after the book Design Patterns: Elements of Reusable Object-Oriented Software was published in 1994 by the so-called "Gang of Four" (Gamma et al.), which is frequently abbreviated as "GoF". That same year, the first Pattern Languages of Programming Conference was held and the following year, the Portland Pattern Repository was set up for documentation of design patterns. The scope of the term remains a matter of dispute. Notable books in the design pattern genre include:

• Gamma, Erich; Helm, Richard; Johnson, Ralph; Vlissides, John (1995). Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley. ISBN 0-201-63361-2.
• Brinch Hansen, Per (1995). Studies in Computational Science: Parallel Programming Paradigms. Prentice Hall. ISBN 0-13-439324-4.
• Buschmann, Frank; Meunier, Regine; Rohnert, Hans; Sommerlad, Peter (1996). Pattern-Oriented Software Architecture, Volume 1: A System of Patterns. John Wiley & Sons. ISBN 0-471-95869-7.
• Schmidt, Douglas C.; Stal, Michael; Rohnert, Hans; Buschmann, Frank (2000). Pattern-Oriented Software Architecture, Volume 2: Patterns for Concurrent and Networked Objects. John Wiley & Sons. ISBN 0-471-60695-2.
• Fowler, Martin (2002). Patterns of Enterprise Application Architecture. Addison-Wesley. ISBN 978-0-321-12742-6.
• Hohpe, Gregor; Woolf, Bobby (2003). Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions. Addison-Wesley. ISBN 0-321-20068-3.
• Freeman, Eric T; Robson, Elisabeth; Bates, Bert; Sierra, Kathy (2004). Head First Design Patterns. O'Reilly Media. ISBN 0-596-00712-4.

Although design patterns have been applied practically for a long time, formalization of the concept of design patterns languished for several years.^[8]

Practice

Design patterns can speed up the development process by providing tested, proven development paradigms.^[9] Effective software design requires considering issues that may not become visible until later in the implementation. Reusing design patterns helps to prevent subtle issues that can cause major problems^{[citation needed]}, and it also improves code readability for coders and architects who are familiar with the patterns.
In order to achieve flexibility, design patterns usually introduce additional levels of indirection, which in some cases may complicate the resulting designs and hurt application performance.
By definition, a pattern must be programmed anew into each application that uses it. Since some authors see this as a step backward from software reuse as provided by components, researchers have worked to turn patterns into components. Meyer and Arnout were able to provide full or partial componentization of two-thirds of the patterns they attempted.^[10]
Software design techniques are difficult to apply to a broader range of problems.^{[citation needed]} Design patterns provide general solutions, documented in a format that does not require specifics tied to a particular problem.

Structure

Design patterns are composed of several sections (see § Documentation below). Of particular interest are the Structure, Participants, and Collaboration sections. These sections describe a design motif: a prototypical micro-architecture that developers copy and adapt to their particular designs to solve the recurrent problem described by the design pattern. A micro-architecture is a set of program constituents (e.g., classes, methods...) and their relationships. Developers use the design pattern by introducing in their designs this prototypical micro-architecture, which means that micro-architectures in their designs will have structure and organization similar to the chosen design motif.

Domain-specific patterns

Efforts have also been made to codify design patterns in particular domains, including use of existing design patterns as well as domain specific design patterns. Examples include user interface design patterns,^[11] information visualization,^[12] secure design,^[13] "secure usability",^[14] Web design ^[15] and business model design.^[16]
The annual Pattern Languages of Programming Conference proceedings ^[17] include many examples of domain-specific patterns.

Classification and list

Design patterns were originally grouped into the categories: creational patterns, structural patterns, and behavioral patterns, and described using the concepts of delegation, aggregation, and consultation. For further background on object-oriented design, see coupling and cohesion, inheritance, interface, and polymorphism. Another classification has also introduced the notion of architectural design pattern that may be applied at the architecture level of the software such as the Model–View–Controller pattern.

Creational patterns

Name	Description	In Design Patterns	In Code Complete[18]	Other
Abstract factory	Provide an interface for creating families of related or dependent objects without specifying their concrete classes.	Yes	Yes	N/A
Builder	Separate the construction of a complex object from its representation, allowing the same construction process to create various representations.	Yes	No	N/A
Dependency Injection	A class accepts the objects it requires from an injector instead of creating the objects directly.	No	No	N/A
Factory method	Define an interface for creating a single object, but let subclasses decide which class to instantiate. Factory Method lets a class defer instantiation to subclasses (dependency injection[19]).	Yes	Yes	N/A
Lazy initialization	Tactic of delaying the creation of an object, the calculation of a value, or some other expensive process until the first time it is needed. This pattern appears in the GoF catalog as "virtual proxy", an implementation strategy for the Proxy pattern.	Yes	No	PoEAA[20]
Multiton	Ensure a class has only named instances, and provide a global point of access to them.	No	No	N/A
Object pool	Avoid expensive acquisition and release of resources by recycling objects that are no longer in use. Can be considered a generalisation of connection pool and thread pool patterns.	No	No	N/A
Prototype	Specify the kinds of objects to create using a prototypical instance, and create new objects from the 'skeleton' of an existing object, thus boosting performance and keeping memory footprints to a minimum.	Yes	No	N/A
Resource acquisition is initialization (RAII)	Ensure that resources are properly released by tying them to the lifespan of suitable objects.	No	No	N/A
Singleton	Ensure a class has only one instance, and provide a global point of access to it.	Yes	Yes	N/A

Structural patterns

Name	Description	In Design Patterns	In Code Complete[18]	Other
Adapter, Wrapper, or Translator	Convert the interface of a class into another interface clients expect. An adapter lets classes work together that could not otherwise because of incompatible interfaces. The enterprise integration pattern equivalent is the translator.	Yes	Yes	N/A
Bridge	Decouple an abstraction from its implementation allowing the two to vary independently.	Yes	Yes	N/A
Composite	Compose objects into tree structures to represent part-whole hierarchies. Composite lets clients treat individual objects and compositions of objects uniformly.	Yes	Yes	N/A
Decorator	Attach additional responsibilities to an object dynamically keeping the same interface. Decorators provide a flexible alternative to subclassing for extending functionality.	Yes	Yes	N/A
Extension object	Adding functionality to a hierarchy without changing the hierarchy.	No	No	Agile Software Development, Principles, Patterns, and Practices[21]
Facade	Provide a unified interface to a set of interfaces in a subsystem. Facade defines a higher-level interface that makes the subsystem easier to use.	Yes	Yes	N/A
Flyweight	Use sharing to support large numbers of similar objects efficiently.	Yes	No	N/A
Front controller	The pattern relates to the design of Web applications. It provides a centralized entry point for handling requests.	No	No	J2EE Patterns[22] PoEAA[23]
Marker	Empty interface to associate metadata with a class.	No	No	Effective Java[24]
Module	Group several related elements, such as classes, singletons, methods, globally used, into a single conceptual entity.	No	No	N/A
Proxy	Provide a surrogate or placeholder for another object to control access to it.	Yes	No	N/A
Twin [25]	Twin allows modeling of multiple inheritance in programming languages that do not support this feature.	No	No	N/A

Behavioral patterns

Name	Description	In Design Patterns	In Code Complete[18]	Other
Blackboard	Artificial intelligence pattern for combining disparate sources of data (see blackboard system)	No	No	N/A
Chain of responsibility	Avoid coupling the sender of a request to its receiver by giving more than one object a chance to handle the request. Chain the receiving objects and pass the request along the chain until an object handles it.	Yes	No	N/A
Command	Encapsulate a request as an object, thereby allowing for the parameterization of clients with different requests, and the queuing or logging of requests. It also allows for the support of undoable operations.	Yes	No	N/A
Interpreter	Given a language, define a representation for its grammar along with an interpreter that uses the representation to interpret sentences in the language.	Yes	No	N/A
Iterator	Provide a way to access the elements of an aggregate object sequentially without exposing its underlying representation.	Yes	Yes	N/A
Mediator	Define an object that encapsulates how a set of objects interact. Mediator promotes loose coupling by keeping objects from referring to each other explicitly, and it allows their interaction to vary independently.	Yes	No	N/A
Memento	Without violating encapsulation, capture and externalize an object's internal state allowing the object to be restored to this state later.	Yes	No	N/A
Null object	Avoid null references by providing a default object.	No	No	N/A
Observer or Publish/subscribe	Define a one-to-many dependency between objects where a state change in one object results in all its dependents being notified and updated automatically.	Yes	Yes	N/A
Servant	Define common functionality for a group of classes.	No	No	N/A
Specification	Recombinable business logic in a Boolean fashion.	No	No	N/A
State	Allow an object to alter its behavior when its internal state changes. The object will appear to change its class.	Yes	No	N/A
Strategy	Define a family of algorithms, encapsulate each one, and make them interchangeable. Strategy lets the algorithm vary independently from clients that use it.	Yes	Yes	N/A
Template method	Define the skeleton of an algorithm in an operation, deferring some steps to subclasses. Template method lets subclasses redefine certain steps of an algorithm without changing the algorithm's structure.	Yes	Yes	N/A
Visitor	Represent an operation to be performed on the elements of an object structure. Visitor lets a new operation be defined without changing the classes of the elements on which it operates.	Yes	No	N/A

Concurrency patterns

Name	Description	In POSA2[26]	Other
Active Object	Decouples method execution from method invocation that reside in their own thread of control. The goal is to introduce concurrency, by using asynchronous method invocation and a scheduler for handling requests.	Yes	N/A
Balking	Only execute an action on an object when the object is in a particular state.	No	N/A
Binding properties	Combining multiple observers to force properties in different objects to be synchronized or coordinated in some way.[27]	No	N/A
Blockchain	Decentralized way to store data and agree on ways of processing it in a Merkle tree, optionally using digital signature for any individual contributions.	No	N/A
Double-checked locking	Reduce the overhead of acquiring a lock by first testing the locking criterion (the 'lock hint') in an unsafe manner; only if that succeeds does the actual locking logic proceed. Can be unsafe when implemented in some language/hardware combinations. It can therefore sometimes be considered an anti-pattern.	Yes	N/A
Event-based asynchronous	Addresses problems with the asynchronous pattern that occur in multithreaded programs.[28]	No	N/A
Guarded suspension	Manages operations that require both a lock to be acquired and a precondition to be satisfied before the operation can be executed.	No	N/A
Join	Join-pattern provides a way to write concurrent, parallel and distributed programs by message passing. Compared to the use of threads and locks, this is a high-level programming model.	No	N/A
Lock	One thread puts a "lock" on a resource, preventing other threads from accessing or modifying it.[29]	No	PoEAA[20]
Messaging design pattern (MDP)	Allows the interchange of information (i.e. messages) between components and applications.	No	N/A
Monitor object	An object whose methods are subject to mutual exclusion, thus preventing multiple objects from erroneously trying to use it at the same time.	Yes	N/A
Reactor	A reactor object provides an asynchronous interface to resources that must be handled synchronously.	Yes	N/A
Read-write lock	Allows concurrent read access to an object, but requires exclusive access for write operations.	No	N/A
Scheduler	Explicitly control when threads may execute single-threaded code.	No	N/A
Thread pool	A number of threads are created to perform a number of tasks, which are usually organized in a queue. Typically, there are many more tasks than threads. Can be considered a special case of the object pool pattern.	No	N/A
Thread-specific storage	Static or "global" memory local to a thread.	Yes	N/A

Documentation

The documentation for a design pattern describes the context in which the pattern is used, the forces within the context that the pattern seeks to resolve, and the suggested solution.^[30] There is no single, standard format for documenting design patterns. Rather, a variety of different formats have been used by different pattern authors. However, according to Martin Fowler, certain pattern forms have become more well-known than others, and consequently become common starting points for new pattern-writing efforts.^[31] One example of a commonly used documentation format is the one used by Erich Gamma, Richard Helm, Ralph Johnson and John Vlissides (collectively known as the "Gang of Four", or GoF for short) in their book Design Patterns. It contains the following sections:

• Pattern Name and Classification: A descriptive and unique name that helps in identifying and referring to the pattern.
• Intent: A description of the goal behind the pattern and the reason for using it.
• Also Known As: Other names for the pattern.
• Motivation (Forces): A scenario consisting of a problem and a context in which this pattern can be used.
• Applicability: Situations in which this pattern is usable; the context for the pattern.
• Structure: A graphical representation of the pattern. Class diagrams and Interaction diagrams may be used for this purpose.
• Participants: A listing of the classes and objects used in the pattern and their roles in the design.
• Collaboration: A description of how classes and objects used in the pattern interact with each other.
• Consequences: A description of the results, side effects, and trade offs caused by using the pattern.
• Implementation: A description of an implementation of the pattern; the solution part of the pattern.
• Sample Code: An illustration of how the pattern can be used in a programming language.
• Known Uses: Examples of real usages of the pattern.
• Related Patterns: Other patterns that have some relationship with the pattern; discussion of the differences between the pattern and similar patterns.

Criticism

The concept of design patterns has been criticized in several ways.
The design patterns may just be a sign of some missing features of a given programming language (Java or C++ for instance). Peter Norvig demonstrates that 16 out of the 23 patterns in the Design Patterns book (which is primarily focused on C++) are simplified or eliminated (via direct language support) in Lisp or Dylan.^[32] Related observations were made by Hannemann and Kiczales who implemented several of the 23 design patterns using an aspect-oriented programming language (AspectJ) and showed that code-level dependencies were removed from the implementations of 17 of the 23 design patterns and that aspect-oriented programming could simplify the implementations of design patterns.^[33] See also Paul Graham's essay "Revenge of the Nerds".^[34]
Moreover, inappropriate use of patterns may unnecessarily increase complexity.^[35]
Another point of criticism is the lack of an update version since the Design Patterns book was published in 1994.