A técnica "KISS"
A técnica "KISS" resume-se a entender a sua sigla que quer dizer:
"Keep It Simple, Sir"
Outra variantes muito utilizadas:
Keep It Stupid Simple
Keep It Sweet & Simple
Keep it Short & Simple
Keep it Simple, Silly
Não confundir com a banda Rock que surgiu no inicio dos anos 70: Os Kiss!
Mais informação em:
Variants
The principle most likely finds its origins in similar minimalist concepts, such as Occam's razor, Leonardo da Vinci's "Simplicity is the ultimate sophistication", Mies Van Der Rohe's "Less is more", Bjarne Stroustrup's "Make Simple Tasks Simple!", or Antoine de Saint Exupéry's "It seems that perfection is reached not when there is nothing left to add, but when there is nothing left to take away". Colin Chapman, the founder of Lotus Cars, urged his designers to "Simplify, then add lightness". Heath Robinson machines and Rube Goldberg's machines, intentionally overly-complex solutions to simple tasks or problems, are humorous examples of "non-KISS" solutions. Also Shakespeare's "Brevity is the soul of wit".
An alternative view — "Make everything as simple as possible, but not simpler" — is attributed to Albert Einstein, although this may be an editor's paraphrase of a lecture he gave.[8]
A variant used in marketing is "keep it simple and straightforward".[5]
In film animation
Master animator Richard Williams explains the KISS principle in his book The Animator's Survival Kit, and Disney's Nine Old Men write about it in Disney Animation: The Illusion of Life, a considerable work of the genre. The problem faced is that inexperienced animators may "over-animate" in their works, that is, a character may move too much and do too much. Williams urges animators to "KISS".
E ainda... KISS aplicada à programação
What does KISS stand for?
The KISS is an abbreviation of "Keep It Stupid Simple" or "Keep It Simple, Stupid"
What does that mean?
This principle has been a key, and a huge success in my years of software engineering. A common problem among software engineers and developers today is that they tend to over complicate problems.
Typically when a developer is faced with a problem, they break it down into smaller pieces that they think they understand and then try to implement the solution in code. I would say 8 or 9 out of 10 developers make the mistake that they don't break down the problem into small enough or understandable enough pieces. This results in very complex implementations of even the most simple problems, another side effect is spagetthi code, something we tought only BASIC would do with its goto statements, but in Java this results in classes with 500-1000 lines of code, methods that each have several hundreds of lines.
This code clutter is a result of the developer realizing exception cases to his original solution while he is typing in code. These exception cases would have solved if the developer had broken down the problem further.
How will I benefit from KISS
You will be able to solve more problems, faster.
You will be able to produce code to solve complex problems in fewer lines of code
You will be able to produce higher quality code
You will be able to build larger systems, easier to maintain
You're code base will be more flexible, easier to extend, modify or refactor when new requirements arrive
You will be able to achieve more than you ever imagined
You will be able to work in large development groups and large projects since all the code is stupid simple
How can I apply the KISS principle to my work
There are several steps to take, very simple, but could be challenging for some. As easy as it sounds, keeping it simple, is a matter of patience, mostly with yourself.
Be Humble, don't think of yourself as a super genius, this is your first mistake
By being humble, you will eventually achieve super genius status =), and even if you don't, who cares! your code is stupid simple, so you don't have to be a genius to work with it.
Break down your tasks into sub tasks that you think should take no longer than 4-12 hours to code
Break down your problems into many small problems. Each problem should be able to be solved within one or a very few classes
Keep your methods small, each method should never be more than 30-40 lines. Each method should only solve one little problem, not many uses cases
If you have a lot of conditions in your method, break these out into smaller methods.
Not only will this be easier to read and maintain, but you will find bugs a lot faster.
You will learn to love Right Click+Refactor in your editor.
Keep your classes small, same methodology applies here as we described for methods.
Solve the problem, then code it. Not the other way around
Many developers solve their problem while they are coding, and there is nothing wrong doing that. As a matter of fact, you can do that and still adhere to the above statement.
If you have the ability to mentally break down things into very small pieces, then by all means, do that while you are coding. But don't be afraid of refactor your code over and over and over and over again. Its the end result that counts, and number of lines is not a measurement, unless you measure that fewer is better of course.
Don't be afraid to throw away code. Refactoring and recoding are two very important areas. As you come across requirements that didn't exist, or you weren't aware of when you wrote the code to begin with you might be able to solve the old and the new problems with an even better solution.
If you had followed the advice above, the amount of code to rewrite would have been minimal, and if you hadn't followed the advice above, then the code should probably be rewritten anyway.
And for all other scenarios, try to keep it as simple as possible, this is the hardest behavior pattern to apply to, but once you have it, you'll look back and will say, I can't imagine how I was doing work before.
Are there any examples of the KISS principle
There are many, and I will look for some really great one to post here. But I will leave you with the following thought:
Some of the world's greatest algorithms are always the ones with the fewest lines of code. And when we go through the lines of code, we can easily understand them. The innovator of that algorithm, broke down the problem until it was so easy to understand that he/she could implement it.
Many great problem solvers were not great coders, but yet they produced great code!
Retirado do site: http://people.apache.org/~fhanik/kiss.html em out/2016