Better Software Design with Coupling and Cohesion

One of the most fundamental tasks when writing or refactoring software of any kind is breaking the problem down into smaller parts. When you’re first starting out - and even as you continue to gain experience - figuring out what those parts should be, and where they should live within a codebase can be a daunting task. Design patterns and principles can help, but trying to keep them in mind as you design and implement solutions can be overwhelming.

Thankfully, there’s a pair of principles that can cut many of these gordian knots, and render decision making much clearer, simpler, and easier to articulate to others. Understanding and using the concepts of coupling and cohesion to guide my design and refactoring decisions yielded immediate results for me.

Judging from a lot of the code that I’ve had to work on over the years, I think it could help quite a few other developers as well.

The problem in a nutshell

A lot of my early design efforts tended to wind up with amorphously defined “layers,” catch-all classes full of random junk, and clunky abstractions. I knew about a laundry list of design principles like SOLID and DRY, abstraction opens a new window and design patterns. I knew that classes should “talk” to each other as little as possible. But, when it came time to actually write (or improve) code, the results were always somehow less than satisfactory.

Ideally, we want neatly factored designs with relatively small methods and classes, each of which only does one thing, with zero side effects. But as I tried to reach that ideal, I seemed to always wind up with pieces - sometimes large pieces - of code that didn’t obviously belong in any particular place. Worse, they couldn’t be put anywhere without bloating already existing classes or otherwise ruining the organization of the code. The question of “where should this code live” is something that every working developer will run into over and over again.

Learning about the twin concepts of coupling and cohesion opens a new window suddenly clarified why I had been having trouble. Even better, all of the other design principles suddenly made a much deeper and more cohesive sense - all of them were just different ways of addressing these two key principles.


Of the two concepts, coupling opens a new window is the one that most programmers are more likely to be familiar with. Coupling refers to the degree to which two components - classes or modules - interact with one another. It’s a measure of how much they “know” about each other. When you’re reminded to keep methods that aren’t called by other classes private, you’re hearing a half-hearted stab at coupling. Marking methods private is just one way to reduce the number of methods that any other part of the code can see or know about. But coupling can also occur through data - which is why using a global variable, for instance, is a code smell. Any class or module that references the global variable is now coupled to all of the others through that variable. Generally speaking, we want to reduce coupling to the bare minimum needed to implement a solution. Conveniently, there is a hierarchy of types of coupling. Personally, I’ve found that learning about this hierarchy, and at least keeping it in mind when designing software is worth the effort.


The twin idea of Cohesion, for whatever reason, seems to be discussed less often, probably because it can be a bit more abstract at first. It’s really just the inverse concept of coupling. Coupling tells us how strongly modules and classes are connected to one another, while cohesion tells us how strongly modules and classes are internally related to themselves. Cohesion opens a new window is the degree to which all of the methods and data structures in a class or module are related to one another and belong together. A module or class with a high level of cohesion will have elements that all share a common purpose, while one with lower cohesion will be more of a loosly organized collection of odds and ends. Perhaps one reason Cohesion is not discussed as much is that it’s easy to fall into the trap of thinking that a highly cohesive set of methods must be tightly coupled to one another, and therefore that the concept itself is just a restatement of Coupling. This is not necessarily the case, though. Ideally, a set of methods in a module or class would be both loosely coupled to one another, and highly cohesive. Achieving that in the real world can be challenging, but it’s an ideal worth keeping in mind. Like Coupling, there is a hierarchy of different levels opens a new window of cohesion. As with coupling, having an at least passing familiarity with the different levels of Cohesion will change the way that you approach writing new classes and modules, or refactoring existing ones.

Some examples

Like I said earlier, once you really start to understand coupling and cohesion, you’ll start to see how most good design practices are really just ways of minimizing coupling and/or maximizing cohesion. For instance:

  • Most (if not all) of the design patterns listed as “structural” patterns in the definitive reference opens a new window are ways of reducing coupling between different parts of a system by allowing you to re-use a single interface.
  • For that matter, some of the “behavioral” patterns are explicitly described as reducing coupling.
  • Encapsulation can also be viewed as simply preferring to create highly cohesive classes and modules. By creating data and code that live together, you are, by definition, creating more cohesive code.
  • For those familiar with SOLID opens a new window principles, Single Responsibility opens a new window is basically a restatement of the idea of Cohesion.
  • Interface Segregation opens a new window is also a way to increase cohesion by avoiding bloated, catch-all interfaces and the external coupling that they create.
  • Liskov Substitution opens a new window is a pretty straightforward example of reducing coupling.

Final thoughts

As with any principle, you want to avoid over-simplifying things. Design patterns, SOLID opens a new window , and many other best practices have a lot more going on than just coupling and cohesion. There are a lot of considerations that go into designing software. But ultimately, you have to start somewhere - and starting with a well grounded understanding of these two basic principles is an excellent foundation to build on. Personally, I’ve found that starting by considering things from the inside out, so to speak, and focusing first on how to make things as cohesive as possible tends to automatically reduce coupling, and to lead directly to better design decisions. The next time you have an opportunity to design or refactor a codebase, try considering cohesion and its effect on coupling as a first principle to guide you. I bet you’ll be pleasantly surprised.