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Vanilla's open source project was released on 1 July 2006, and has since undergone many changes, the most notable being the complete rewrite between Vanilla OSS and Vanilla Cloud, the latter of the two became the primary product and Vanilla 1 was passed into the hands of other developers. [2]
Software versioning is the process of assigning either unique version names or unique version numbers to unique states of computer software. Within a given version number category (e.g., major or minor), these numbers are generally assigned in increasing order and correspond to new developments in the software.
An increasing positive correlation will decrease the variance of the difference, converging to zero variance for perfectly correlated variables with the same variance. On the other hand, a negative correlation ( ρ A B → − 1 {\displaystyle \rho _{AB}\to -1} ) will further increase the variance of the difference, compared to the uncorrelated ...
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Vanilla software refers to applications and systems used in their unmodified, original state, as distributed by their vendors. [1] This term is often applied in fields such as enterprise resource planning (ERP), [ 2 ] e-government systems, [ 3 ] and software development, where simplicity and adherence to vendor standards are more important than ...
In computing, a plug-in (or plugin, add-in, addin, add-on, or addon) is a software component that extends the functionality of an existing software system without requiring the system to be re-built. A plug-in feature is one way that a system can be customizable. [1] Applications support plug-ins for a variety of reasons including:
Version control (also known as revision control, source control, and source code management) is the software engineering practice of controlling, organizing, and tracking different versions in history of computer files; primarily source code text files, but generally any type of file.
It is a variant of MAPE in which the mean absolute percent errors is treated as a weighted arithmetic mean. Most commonly the absolute percent errors are weighted by the actuals (e.g. in case of sales forecasting, errors are weighted by sales volume). [3] Effectively, this overcomes the 'infinite error' issue. [4]