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In version control software, a changeset (also known as commit [1] and revision [2] [3]) is a set of alterations packaged together, along with meta-information about the alterations. A changeset describes the exact differences between two successive versions in the version control system's repository of changes.
Version control is a component of software configuration management. [1] A version control system is a software tool that automates version control. Alternatively, version control is embedded as a feature of some systems such as word processors, spreadsheets, collaborative web docs, [2] and content management systems, e.g., Wikipedia's page ...
The following table contains relatively general attributes of version-control software systems, including: Repository model, the relationship between copies of the source code repository. Client–server, users access a master repository via a client; typically, their local machines hold only a working copy of a project tree. Changes in one ...
AccuRev is a centralized version control system which uses a client–server model. Communication is performed via TCP/IP using a proprietary protocol. Servers function as team servers, continuous integration servers, or build servers. AccuRev is built around a stream-based architecture in which streams form a hierarchical structure of code ...
In the world of open source software, the Concurrent Version System (CVS) has long been the tool of choice for version control. And rightly so. CVS itself is free software, and its non-restrictive modus operandi and support for networked operation—which allow dozens of geographically dispersed programmers to share their work—fits the ...
The three-way merge looks for sections which are the same in only two of the three files. In this case, there are two versions of the section, and the version which is in the common ancestor "C" is discarded, while the version that differs is preserved in the output. If "A" and "B" agree, that is what appears in the output.
DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines. [3] [4] [5] DVC works on top of Git repositories [6] and cloud storage. [7]
Branching, in version control and software configuration management, is the duplication of an object under version control (such as a source code file or a directory tree). Each object can thereafter be modified separately and in parallel so that the objects become different. In this context the objects are called branches. The users of the ...