Download e-book for kindle: Code Simplicity: The Science of Software Development by Max Kanat-Alexander
By Max Kanat-Alexander
Each complexity of software program layout, simplified and codified finally, to be used through each programmer, from the beginner to the architects of significant purposes. This publication includes the basic legislation of software program improvement, the first items of knowing that make the adaptation among a mid-level/junior programmer and the high-level senior software program engineer. The e-book exists to assist all programmers comprehend the method of writing software program, on a truly basic point that may be utilized to any programming language or undertaking, from right here into eternity. Code Simplic.
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Additional info for Code Simplicity: The Science of Software Development
There are lots of reasons people think that they should write code before it’s needed, or keep around code that isn’t being used. First off, some people believe they can get around the Law of Change by programming every feature that any user could ever possibly need, right now. Then, they think, the program won’t have to be changed or 34 | Chapter 5: Change improved in the future. But this is wrong. It’s not possible to write a system that will never change, as long as that system continues to have users.
But before we get to that, we have to examine the future a little bit more. The Quality of Design It is very easy to write software that helps one person, right now. It is much more difficult to write software that helps millions of people now and continues to do so decades into the future. But where is most of the programming effort going to be, and when will most of those users be using the software? Right now, or in those decades to come? The answer is that there will be far more programming work to be done—and far more users to help—in the future than in the present.
This is the primary law of software design. However, there is a bit more to know about it. Reducing the Equation “Future value” and “effort of maintenance” both depend on time, which causes interesting things to happen with the equation when we apply it to a real-world situation. To demonstrate these, let’s pretend we can use money to solve the equation for both value and effort. “Value” will be measured by how much money the change will make us. “Effort” will be measured in terms of how much money it will cost us to implement the change.
Code Simplicity: The Science of Software Development by Max Kanat-Alexander