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Often, the development branch is the trunk. Some revision control systems have specific jargon for the main development branch. For example, in CVS, it is called the "MAIN" branch. Git uses "master" by default, although GitHub [4] [5] and GitLab switched to "main" after the murder of George Floyd.
Git supports rapid branching and merging, and includes specific tools for visualizing and navigating a non-linear development history. In Git, a core assumption is that a change will be merged more often than it is written, as it is passed around to various reviewers. In Git, branches are very lightweight: a branch is only a reference to one ...
It is note-worthy that in recent years the "topic" or "feature" branch model has gained in popularity over the team based branch model. See for example the popular Git-Flow branching model [3] On a frequent basis, the team will decide to go to the second phase: integration with the mainline.
Repository model, how working and shared source code is handled Shared, all developers use the same file system Client–server , users access a master repository server via a client ; typically, a client machine holds only a working copy of a project tree; changes in one working copy are committed to the master repository before becoming ...
branch – branch –no-tree [nb 62] pull push init – branch checkout – checkout –lightweight [nb 63] update N/A add rm mv N/A merge commit revert send rebase [nb 64] BitKeeper: setup clone pull -R push clone co pull Unknown add rm mv cp pull commit undo makepatch collapse IBM DevOps Code ClearCase: init N/A N/A N/A N/A checkout update
[1] [2] [3] Git, the world's most popular version control system, [4] is a distributed version control system. In 2010, software development author Joel Spolsky described distributed version control systems as "possibly the biggest advance in software development technology in the [past] ten years".
Data and model versioning is the base layer [21] of DVC for large files, datasets, and machine learning models. It allows the use of a standard Git workflow, but without the need to store those files in the repository. Large files, directories and ML models are replaced with small metafiles, which in turn point to the original data. Data is ...
It expands upon RCS by adding support for repository-level change tracking, and a client-server model. [5] Files are tracked using the same history format as in RCS, with a hidden directory containing a corresponding history file for each file in the repository. CVS uses delta compression for efficient storage of different versions of the same ...