The Wild, Wild Web

This is a little history of the early World Wide Web (WWW) for the benefit of the younger generation which may have not experienced the Internet in its infancy and therefore might not be aware of the horrors that it involved, and why certain things have come to be the way they are today.

As you are reading this, and thinking to yourself that it could not possibly have been as bad as I am describing it, remember, the general public was experiencing it using 2400 baud modems.

Domain Oriented Programming

A Software Design Pattern which brings the principles of Inheritance, Encapsulation and Polymorphism one level up from the Class level to the Subsystem level, and offers a way of realizing relationships between classes so as to achieve dependency inversion by means of propagation instead of injection.

Part 1: Dependency Inversion

The software that we write often invokes other software to get parts of the job done. These are known as Services or Dependencies. If Class A is making use of some Class B, then Class A depends on Class B, so Class B is a dependency of Class A. 

The principle of Dependency Inversion (⬀) says that a class should not contain any direct calls to specific instances of any of its dependencies. Instead, it should receive these instances as parameters during initialization.

That's all very nice, but passing dependencies around can become quite a complicated business, and in large systems it can become a nightmare.

On Validation vs. Error Checking

Let me start with a couple of pedantic definitions; stay with me, the beef follows right afterwards.

Conventional wisdom says that validation is different from error checking.

• Validation is performed at the boundaries of a system, to check the validity of incoming data, which is at all times presumed to be potentially invalid. When invalid data is detected, validation is supposed to reject it. Validation is supposed to be always on, you cannot switch it off on release builds and only have it enabled on debug builds.
• Error checking, on the other hand, is performed inside a system, checking against conditions that should never occur, to keep making sure that everything is working as intended. In the event that an error is encountered, the intent is to signal a catastrophic failure. Essentially, the term Error Checking is shorthand for Internal Error Checking. It can be implemented using assertions, thus being active on the debug build only, and having a net cost of zero on the release build.

So far so good, right?

Stackoverflow is not suitable for poignant questions

As the screenshot proves.