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Refactoring is usually motivated by noticing a code smell. [2] For example, the method at hand may be very long, or it may be a near duplicate of another nearby method. Once recognized, such problems can be addressed by refactoring the source code, or transforming it into a new form that behaves the same as before but that no longer "smells".
Rule of three ("Three strikes and you refactor") is a code refactoring rule of thumb to decide when similar pieces of code should be refactored to avoid duplication. It states that two instances of similar code do not require refactoring, but when similar code is used three times, it should be extracted into a new procedure.
Code is refactored for readability and maintainability. In particular, hard-coded test data should be removed from the production code. Running the test suite after each refactor ensures that no existing functionality is broken. Examples of refactoring: moving code to where it most logically belongs; removing duplicate code; making names self ...
Thus, a code smell is a driver for refactoring. Factors such as the understandability of code, how easy it is to be modified, the ease in which it can be enhanced to support functional changes, the code's ability to be reused in different settings, how testable the code is, and code reliability are factors that can be used to identify code ...
Common refactoring activities are changing variable names, renaming methods, ... For example, Python code is much more consistently indented than, say Perl, because ...
"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.
The Transformation Priority Premise is a name given to the mental structure TDD’ers build up over time as to balance your code from being too specific, rather than generic. The idea is that with each example you add to the tests you move up the Transformation Priority list, making your code more generic, so able to handle more of the cases.
Type generalization is a technique commonly used in refactoring. The idea is to draw on the benefits of object-orientation and make more-generalized types, thus enabling more code sharing, leading to better maintainability as there is less code to write.