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In computer programming, duplicate code is a sequence of source code that occurs more than once, either within a program or across different programs owned or maintained by the same entity. Duplicate code is generally considered undesirable for a number of reasons. [ 1 ]
RExcel is an add-on for Microsoft Excel that allows access to the statistics package R from within Excel. It uses the statconnDCOM server and, for certain configurations, the room package. It uses the statconnDCOM server and, for certain configurations, the room package.
"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 replace command first appeared in MS-DOS 3.2 [2] and has been included in most versions of MS-DOS and compatibles such as FreeDOS [3] and PTS-DOS. [4] DR DOS 6.0 includes an implementation of the replace command. [5] The FreeDOS version was developed by Rene Ableidinger and is licensed under the GPL. [6]
The rename command is supported by Tim Paterson's SCP 86-DOS. [26] On MS-DOS, the command is available in versions 1 and later. [27] DR DOS 6.0 also includes an implementation of the ren and rename commands. [28] In Windows PowerShell, ren is a predefined command alias for the Rename-Item Cmdlet which basically serves the same purpose. [29]
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.
In engineering, science, and statistics, replication is the process of repeating a study or experiment under the same or similar conditions. It is a crucial step to test the original claim and confirm or reject the accuracy of results as well as for identifying and correcting the flaws in the original experiment. [1]