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A database refactoring is a simple change to a database schema that improves its design while retaining both its behavioral and informational semantics. Database refactoring does not change the way data is interpreted or used and does not fix bugs or add new functionality. Every refactoring to a database leaves the system in a working state ...
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".
Database refactoring is the technique of implementing small changes to the database schema without affecting the functionality and information stored in the database. [2] The main purpose of database refactoring is to improve the database design so that the database is more in-sync with the changing requirements.
This will improve the quality of the database or web-based system. Database testing should be distinguished from strategies to deal with other problems such as database crashes, broken insertions, deletions or updates. Here, database refactoring is an evolutionary technique that may apply.
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 ...
FizzBuzzEnterpriseEdition offers a humorous example of over-complexity introduced by design patterns. [33] By definition, a pattern must be programmed anew into each application that uses it. Since some authors see this as a step backward from software reuse as provided by components, researchers have worked to turn patterns into components ...
"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.
This beckons as another opportunity for refactoring to be used in order to improve the quality of the code. Refactoring to eliminate data clumps does not need to be done by hand. Many modern fully featured IDEs have functionality (often labeled as "Extract Class") that is capable of performing this refactoring automatically or nearly so. This ...