Have you ever played with a toy that transforms into something else, like a robot that turns into a car? Well, in computer science, there is something called predicate transformer semantics that is like a toy transformer for computer programs.
Let's say you have a computer program that does something, like adding 2 numbers together. Now, imagine you want to change this program so that it will only add 2 numbers together if one of the numbers is less than 10. You could use predicate transformer semantics to make this change.
Here's how it works. Instead of just changing the program itself, you create a new rule. This rule is called a predicate transformer, and it tells the computer what to do if the condition you specified is true. In our example, the condition is that one of the numbers is less than 10.
So, the predicate transformer would say "If the first number is less than 10, then add it to the second number. Otherwise, don't add anything." Now, when you run your program, it will follow this new rule and only add the numbers if the condition is met.
Predicate transformer semantics is like using a set of rules to transform your program into something new, just like a toy transformer turns into something else. It helps you make changes to your program in a structured and logical way, and ensures that your program behaves correctly.