Jun 21 '20
< all postsReading Time: 4 mins
I'm not going to hide it when I write any code it tends to get quite messy. By the end, it tends to look pretty bad, so a useful thing to do is refactor code when it's done.
Personally, I like to focus on getting the task done and working efficiently and refactor when it's done. It is crucial to have maintainable and readable code if others will be looking at it. Here are some key principles you should be following:
Don't repeat yourself. When writing lots of code, you get tired and repeat functionality and styles. Don't. Just add it all into a function or a helper class. Let's say you need to generate HTML elements via Javascript, it is much cleaner to add this to a procedure and call it multiple times; making your code much more readable.
You aren't gonna need it. This principle says you shouldn't be adding functionality until you actually need it. Implementing functionality when you foresee it's usage isn't a good idea because you will end up not needing it and will have unused code.
Keep it simple stupid. Always make sure you go with the cleanest solution, to make it as readable as possible. One way to increase readability is to use functions in the standard library rather than writing your own lengthy solution. I don't mean download an npm package when you can quickly write something yourself but keep your code sensible. Here is an example in python using a simple sorting algorithm:
# Bad
myNumbers = [5,8,1,2,10,21,3]
flag = 0
while not flag:
if(all(myNumbers[i] <= myNumbers[i + 1] for i in range(len(myNumbers)-1))):
flag = 1
for i in range(len(myNumbers)-1):
_next = i + 1
if myNumbers[i] > myNumbers[_next]:
myNumbers[i],myNumbers[_next] = myNumbers[_next],myNumbers[i]
else:
continue
print(myNumbers)
# Good
myNumbers = [5,8,1,2,10,21,3]
myNumbers.sort()
print(myNumbers)
why make life more complicated than it needs to be?
Defensive programming is not something I tend to do on small projects, but it is concerned with writing code in a way in which it is near enough impossible to break. A programmer would consider every single possible situation and make sure nothing breaks by using something like a try-catch exception ( or try-and-except for the Python fans). Defensive programming involves improving quality and comprehensibility and making software predictable.
Bert Lance is known for popularising this phrase in 1977. It is just what it says on the tin. Don't try to fix something that isn't broken; you'll probably end up breaking it. Then you'll spend ages debugging (I've been there).
Gall's Law is a rule of thumb for systems design from Gall's book Systemantics: How Systems Really Work and How They Fail. It states:
"A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works and cannot be patched up to make it work. You have to start over with a working simple system." [1]
If I were to simplify that for you; it basically says that you should be building on something simple that works to make something big that works, because making something big from scratch will end in mayhem.
The Separation of Concerns (or SoC for short) is a design principle which says you should separate sections of a computer program so that each is dealing with a separate concern. An example of this is HTML, CSS and JS you should keep them each to their own file to separate the markup the styles and functionality. This is again useful to improve the comprehensibility of code.
Similarly, the Single-responsibility Principe states that each module of code should only have responsibility over a single part of the functionality. Let's say you are writing a game. You should separate each part of the game such as movement, speech into separate methods or functions, rather than have one function or method dealing with everything.
This may sound a little strange, but "it is the subjective idea that quality does not necessarily increase with functionality — that there is a point where less functionality ("worse") is a preferable option ("better") in terms of practicality and usability." This principle by Richard P. Gabriel states that if increasing the functionality makes something harder to use then it is better to have less functionality.
The Interface segregation principle (or the ISP) states that "no client should be forced to depend on methods it does not use" [2]. This means that a large interface would be split into smaller section so that the users can find what they need with ease without having to scroll through too many predefined steps (methods).
The 90-90 rule states that "The first 90 percent of the code accounts for the first 90 percent of the development time. The remaining 10 percent of the code accounts for the other 90 percent of the development time." This adds up to 180% of development time alluding to the fact that notoriety of software development projects significantly over-running their schedules.
Hope you learned something new. Feel free to hit the heart button; and follow if you would like to see more of my thoughts.
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