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Manual merging is also required when automatic merging runs into a change conflict; for instance, very few automatic merge tools can merge two changes to the same line of code (say, one that changes a function name, and another that adds a comment). In these cases, revision control systems resort to the user to specify the intended merge result.
Followed by the advent of distributed version control systems (DVCS), Git naturally enables the usage of a pull-based development model, in which developers can copy the project onto their own repository and then push their changes to the original repository, where the integrators will determine the validity of the pull request. Since its ...
The death of the fork. This is by far the most common case. It is easy to declare a fork, but considerable effort to continue independent development and support. A re-merging of the fork (e.g., egcs becoming "blessed" as the new version of GNU Compiler Collection.) The death of the original (e.g. the X.Org Server succeeding and XFree86 dying.)
Another approach is to split a branch off the trunk, implement changes in that branch and merge the changes back into the trunk when the branch has proven to be stable and working. Depending on development mode and commit policy the trunk may contain the most stable or the least stable or something-in-between version.
JGit is used in the Gerrit code-review tool, and in EGit, a Git client for the Eclipse IDE. [76] Go-git is an open-source implementation of Git written in pure Go. [77] It is currently used for backing projects as a SQL interface for Git code repositories [78] and providing encryption for Git. [79]
Source Code Control System (SCCS) is a version control system designed to track changes in source code and other text files during the development of a piece of software. This allows the user to retrieve any of the previous versions of the original source code and the changes which are stored.
Copy-on-write (COW), also called implicit sharing [1] or shadowing, [2] is a resource-management technique [3] used in programming to manage shared data efficiently. Instead of copying data right away when multiple programs use it, the same data is shared between programs until one tries to modify it.
Implementations of the fork–join model will typically fork tasks, fibers or lightweight threads, not operating-system-level "heavyweight" threads or processes, and use a thread pool to execute these tasks: the fork primitive allows the programmer to specify potential parallelism, which the implementation then maps onto actual parallel execution. [1]