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In computer programming and software design, code refactoring is the process of restructuring existing source code—changing the factoring—without changing its external behavior. Refactoring is intended to improve the design, structure, and/or implementation of the software (its non-functional attributes), while preserving its functionality.
Refactoring is a redrafting process in which talk page content is moved, removed, revised, restructured, hidden, or otherwise changed. It applies only in contexts where editors make signed statements (such as in the Talk and User talk namespaces). Refactoring has a number of uses, including: Improving the clarity and readability of a page
AntiPatterns: Refactoring Software, Architectures, and Projects in Crisis [1] is a book about anti-patterns: specific repeated practices in software architecture, software design and software project management that initially appear to be beneficial, but ultimately result in bad consequences that outweigh hoped-for advantages.
Test-driven development (TDD) is a way of writing code that involves writing an automated unit-level test case that fails, then writing just enough code to make the test pass, then refactoring both the test code and the production code, then repeating with another new test case.
In software engineering, the adapter pattern is a software design pattern (also known as wrapper, an alternative naming shared with the decorator pattern) that allows the interface of an existing class to be used as another interface. [1]
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 ...
"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 application of the Service Refactoring design pattern requires extensive testing to ensure a reliable and proven service, although inefficient, carries on the same level of behavioral stability and reliability. This might increase the project costs and would require additional quality assurance procedures and strict governance.