Breaking Bad: Liskov’s Substitution Principle (LSP) violation

Recently I was watching a very nice explanation of LSP on Christopher Okhravi’s YouTube channel. After approximately five minutes of watching this video I wanted to know one thing: how can I actually break it?

Because, you know, breaking things when you learn gives you better understanding of how they work. Am I right?

Continue reading “Breaking Bad: Liskov’s Substitution Principle (LSP) violation”

Breaking Bad: Liskov’s Substitution Principle (LSP) violation

Recently I was watching a very nice explanation of LSP on Christopher Okhravi’s YouTube channel. After approximately five minutes of watching this video I wanted to know one thing: how can I actually break it?

Because, you know, breaking things when you learn gives you better understanding of how they work. Am I right?

Continue reading “Breaking Bad: Liskov’s Substitution Principle (LSP) violation”

Fighting Complexity of a Simple Calculator App

Encouraged by Dmitry aka Senior Software Vlogger recently I read an interesting paper called “Out of the Tar Pit” by Ben Moseley and Peter Marks. Good 50% of the article is way over my head.

According to the paper the two most important ways of how complexity comes to our apps are State and Control. Control is order in which things happen inside app. State is variables that change what and in which order program does. Both of them make an app hard to understand hence to modify.

The less State and Control a computer program has the better. The simplest program “Hello world!” does not have State and has only one thing to do (console output of a hard-coded string).

That’s all right but the authors say that OOP (which I like a lot) does not help fighting complexity. And this conclusion surprised me because… it really does! I wanted to check the authors conclusion by practice.

Continue reading “Fighting Complexity of a Simple Calculator App”