I have problems understanding the statement low in coupling and high in cohesion. I have googled and read a lot about this, but still finding it hard to understand.
To what I understand is High cohesion means, that we should have classes that are specialized to perform a particular function. Hope this is correct? Like a credit card validation class, which is specialized to validate credit cards only.
And still don't understand what low Coupling means?
Low coupling is in the context of two or many modules. If a change in one module results in many changes in other module then they are said to be highly coupled. This is where interface based programming helps. Any change within the module will not impact the other module as the interface (the mean of interaction ) between them has not changed.
High cohesion- Put the similar things together. So a class should have method or behaviors to do related job. Just to give an exaggerated bad example: An implementation of List interface should not have operation related to String. String class should have methods, fields which is relevant for String and similarly, the implementation of List should have corresponding things.
Hope that helps.
Short and clear answer
Inheritance or generalization is an example of high coupling (i.e. high interdependence). What I meant by this is that in inheritance often the parent class defines base functionalities that is used by its child class and change in methods of parent class directly impact its child classes. Hence we can say that there is a greater degree of interdependence between classes.
Realization or using interface is an example of high cohesion (i.e. low interdependence). What this means is that an interface put forward a contract for any class that implements it but each class has the right to implement methods declared in interface in its own way and changes in method declared in one class doesn't affect any other class.
Long story short, low coupling as I understood it meant components can be swapped out without affecting the proper functioning of a system. Basicaly modulize your system into functioning components that can be updated individually without breaking the system
Do you have a smart phone? Is there one big app or lots of little ones? Does one app reply upon another? Can you use one app while installing, updating, and/or uninstalling another? That each app is self-contained is high cohesion. That each app is independent of the others is low coupling. DevOps favours this architecture because it means you can do discrete continuous deployment without disrupting the system entire.
Low Coupling and High Cohesion is a recommended phenomenon.
Coupling means to what extent various modules are interdependent and how the other modules are affected on changing some/considerable functionality of a module. Low coupling is emphasized as the dependency has to be maintained low so that very least/negligible changes are made to other modules.
Here is an answer from a bit of an abstract, graph theoretic angle:
Let's simplify the problem by only looking at (directed) dependency graphs between stateful objects.
An extremely simple answer can be illustrated by considering two limiting cases of dependency graphs:
The 1st limiting case: a cluster graphs .
A cluster graph is the most perfect realisation of a high cohesion and low coupling (given a set of cluster sizes) dependency graph.
The dependence between clusters is maximal (fully connected), and inter cluster dependence is minimal (zero).
This is an abstract illustration of the answer in one of the limiting cases.
The 2nd limiting case is a fully connected graph, where everything depends on everything.
Reality is somewhere in between, the closer to the cluster graph the better, in my humble understanding.
From another point of view: when looking at a directed dependency graph, ideally it should be acyclic, if not then cycles form the smallest clusters/components.
One step up/down the hierarchy corresponds to "one instance" of loose coupling, tight cohesion in a software but it is possible to view this loose coupling/tight cohesion principle as a repeating phenomena at different depths of an acyclic directed graph (or on one of its spanning tree's).
Such decomposition of a system into a hierarchy helps to beat exponential complexity (say each cluster has 10 elements). Then at 6 layers it's already 1 million objects:
10 clusters form 1 supercluster, 10 superclusters form 1 hypercluster and so on ... without the concept of tight cohesion, loose coupling, such a hierarchical architecture would not be possible.
So this might be the real importance of the story and not just the high cohesion low coupling within two layers only. The real importance becomes clear when considering higher level abstractions and their interactions.
In software design high cohesion means that class should do one thing and one thing very well. High cohesion is closely related to Single responsibility principle.
Low coupling suggest that class should have least possible dependencies. Also, dependencies that must exist should be weak dependencies - prefer dependency on interface rather than dependency on concrete class, or prefer composition over inheritance .
High Cohesion and low coupling give us better designed code that is easier to maintain.
I think you have red so many definitions but in the case you still have doubts or In case you are new to programming and want to go deep into this then I will suggest you to watch this video, https://youtu.be/HpJTGW9AwX0 It's just reference to get more info about polymorphism... Hope you get better understanding with this
Cohesion in software engineering, as in real life, is how much the elements consisting a whole(in our case let's say a class) can be said that they actually belong together. Thus, it is a measure of how strongly related each piece of functionality expressed by the source code of a software module is.
One way of looking at cohesion in terms of OO is if the methods in the class are using any of the private attributes.
Now the discussion is bigger than this but High Cohesion (or the cohesion's best type - the functional cohesion) is when parts of a module are grouped because they all contribute to a single well-defined task of the module.
Coupling in simple words, is how much one component (again, imagine a class, although not necessarily) knows about the inner workings or inner elements of another one, i.e. how much knowledge it has of the other component.
Loose coupling is a method of interconnecting the components in a system or network so that those components, depend on each other to the least extent practically possible…
I wrote a blog post about this. It discusses all this in much detail, with examples etc. It also explains the benefits of why you should follow these principles.
Cohesion - how closely related everything is with one another.
Coupling - how everything is connected to one another.
Let's take an example - We want to design a self-driving car.
(1) We need the motor to run properly.
(2) We need the car to drive on its own.
All of the classes and functions in (1) starting the motor and making it run work great together, but do not help the car steer. So we place those classes behind an Engine Controller.
All of the classes and functions in (2) work great to make the car steer, accelerate and brake. They do not help the car start or send gasoline to the pistons. So we place these classes behind its own Driving Controller.
These controllers are used to communicate with all of the classes and functions that are available. The controllers then communicate only with each other. This means I can't call a function in the piston class from the gas pedal class to make the car go faster.
The pedal class has to ask the Driving Controller to talk to the Engine Controller which then tells the piston class to go faster. This allows us programmers to be able to find issues and allows us to combine large programs without worrying. This is because the code was all working behind the controller.
An example might be helpful. Imagine a system which generates data and puts it into a data store, either a file on disk or a database.
High Cohesion can be achieved by separate the data store code from the data production code. (and in fact separating the disk storage from the database storage).
Low Coupling can be achieved by making sure that the data production doesn't have any unnecessary knowledge of the data store (e.g. doesn't ask the data store about filenames or db connections).
Low Coupling:-- Will keep it very simple. If you change your module how does it impact other modules.
Example:- If your service API is exposed as JAR, any change to method signature will break calling API (High/Tight coupling).
If your module and other module communicate via async messages. As long as you get messages, your method change signature will be local to your module (Low coupling).
Off-course if there is change in message format, calling client will need to make some change.
Source: Stackoverflow.com