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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. Version control is a component of software configuration ...
Because version control systems operate on changesets as atomic units, and because communication within development teams improves performance, there are certain best practices to follow when creating changesets. Only the 2 most significant are mentioned here, changeset content atomicity and changeset descriptions.
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.
Industry-wide practices were offered as solutions, either in an open or proprietary manner (such as Revision Control System). With the growing use of computers, systems emerged that handled a broader scope, including requirements management , design alternatives, quality control, and more; later tools followed the guidelines of organizations ...
Source code/document version control procedures - controls designed to protect the integrity of program code; Software development life cycle standards - controls designed to ensure IT projects are effectively managed. Logical access policies, standards and processes - controls designed to manage access based on business needs.
Version Control is an important link in a DevOps toolchain and a component of software configuration management. Version Control is the management of changes to documents, computer programs, large web sites, and other collections of information. [8] A summary of Version Control related activities are: Non-linear development; Distributed development
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Created by ex-Microsoft data scientist Dmitry Petrov, DVC aimed to integrate the best existing software development practices into machine learning operations. [45] In 2018, [46] Dmitry Petrov together with Ivan Shcheklein, an engineer and entrepreneur, founded Iterative.ai, [4] [47] an MLOps company that continued the development of DVC ...
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