p
Programlama
1 üyeTakip
Anytime you find yourself looking at a class’s implementation to figure out how to use the class, you’re not programming to the interface; you’re programming through the interface to the implementation. If you’re programming through the interface, encapsulation is broken, and once encapsulation starts to break down, abstraction won’t be far behind.
Abstract data types are exciting because you can use them to manipulate real-world entities rather than low-level, implementation entities. Instead of inserting a node into a linked list, you can add a cell to a spreadsheet, a new type of window to a list of window types, or another passenger car to a train simulation. Tap into the power of being able to work in the problem domain rather than at the low-level implementation domain!
Keeping routines short helps reduce your mental workload. Writing programs in terms of the problem domain, rather than in terms of low-level implementation details, and working at the highest level of abstraction reduce the load on your brain.
At the software-architecture level, the complexity of a problem is reduced by dividing the system into subsystems. Humans have an easier time comprehending several simple pieces of information than one complicated piece. The goal of all software-design techniques is to break a complicated problem into simple pieces. The more independent the subsystems are, the more you make it safe to focus on one bit of complexity at a time.
Modeling real-world objects might not be the only reason to create a class, but it’s still a good reason! Create a class for each real-world object type that your program models. Put the data needed for the object into the class, and then build service routines that model the behavior of the object.