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The code that a programmer writes should be simple. Complicated logic for achieving a simple thing should be kept to a minimum since the code might be modified by another programmer in the future. The logic one programmer implemented may not make perfect sense to another. So, always keep the code as simple as possible. [21]
All loops must have fixed bounds. This prevents runaway code. Avoid heap memory allocation. Restrict functions to a single printed page. Use a minimum of two runtime assertions per function. Restrict the scope of data to the smallest possible. Check the return value of all non-void functions, or cast to void to indicate the return value is useless.
The Code Conventions for the Java Programming Language, recommended by Sun), or custom defined by the development team. Extreme Programming backers advocate code that is self-documenting to the furthest degree possible. This reduces the need for code comments, which can get out of sync with the code itself. [6]
YAGNI is a principle behind the XP practice of "do the simplest thing that could possibly work" (DTSTTCPW). [2] [3] It is meant to be used in combination with several other practices, such as continuous refactoring, continuous automated unit testing, and continuous integration.
The management of complexity includes the following basic principle: minimize the amount of code written during the project development. This prevents unnecessary work which prevents unnecessary cost, both upfront and downstream. This is simply because if there is less code, it is less work not only to create the application, but also to ...
The common practice of allowing a 5-10 percent margin for late execution reduces the potential number of false negatives in test execution. It is also suggested to treat test code with the same respect as production code. Test code must work correctly for both positive and negative cases, last a long time, and be readable and maintainable.
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"Don't repeat yourself" (DRY), also known as "duplication is evil", is a principle of software development aimed at reducing repetition of information which is likely to change, replacing it with abstractions that are less likely to change, or using data normalization which avoids redundancy in the first place.