Category Archives: OOP

Technical debt – Wikipedia, the free encyclopedia

Shipping first time code is like going into debt. A little debt speeds development so long as it is paid back promptly with a rewrite… The danger occurs when the debt is not repaid. Every minute spent on not-quite-right code counts as interest on that debt. Entire engineering organizations can be brought to a stand-still under the debt load of an unconsolidated implementation, object-oriented or otherwise.

Ward Cunningham

via Technical debt – Wikipedia, the free encyclopedia.

Steveys Blog Rants: Execution in the Kingdom of Nouns

Execution in the Kingdom of Nouns  Theyve a temper, some of them—particularly verbs: theyre the proudest—adjectives you can do anything with, but not verbs—however, I can manage the whole lot of them! Impenetrability! Thats what I say!— Humpty Dumpty

via Steveys Blog Rants: Execution in the Kingdom of Nouns.

Sean Corfield pointed me to this one [http://corfield.org].

Hilarious.

Dependency injection – Wikipedia entry

Dependency injection (DI) in object-oriented computer programming is a design pattern with a core principle of separating behavior from dependency resolution. In other words: a technique for decoupling highly dependent software components.

Developers of software strive to reduce dependencies between components in software for various reasons. This leads to a new problem, though: How can a component know all the other components it needs to fulfill its purpose?

The traditional approach was to hard-code the dependency. As soon as the database driver was necessary, the component would execute a piece of code that would load a specific driver, configure it and call the necessary methods to interact with the database. If a second database must be supported, this piece of code would have to be modified or, even worse, copied and modified (violating the DRY principle).

Dependency injection offers a solution. Instead of hard-coding the dependencies, a component just lists the necessary services and a DI framework supplies these. At runtime, an independent component will load and configure the database driver and offer a standard interface to interact with the database. Again, the details have been moved from the original component to a set of new, small, database specific components, reducing the complexity of them all.

In DI terms, these new components are called “service components” because they render a service (database access) for one or more other components.

Dependency injection is a specific form of inversion of control where the concern being inverted is the process of obtaining the needed dependency. The term was first coined by Martin Fowler to describe the mechanism more clearly.

via Dependency injection – Wikipedia, the free encyclopedia.

Inversion of Control Containers and the Dependency Injection pattern – Martin Fowler’s seminal article

Separating Configuration from Use

The important issue in all of this is to ensure that the configuration of services is separated from their use. Indeed this is a fundamental design principle that sits with the separation of interfaces from implementation. It’s something we see within an object-oriented program when conditional logic decides which class to instantiate, and then future evaluations of that conditional are done through polymorphism rather than through duplicated conditional code.

If this separation is useful within a single code base, it’s especially vital when you’re using foreign elements such as components and services. The first question is whether you wish to defer the choice of implementation class to particular deployments. If so you need to use some implementation of plugin. Once you are using plugins then it’s essential that the assembly of the plugins is done separately from the rest of the application so that you can substitute different configurations easily for different deployments. How you achieve this is secondary. This configuration mechanism can either configure a service locator, or use injection to configure objects directly.

via Inversion of Control Containers and the Dependency Injection pattern.