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You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
The script can be and originally was hand-coded. Today, multiple tools are available for generating a configure script based on special configuration files. One commonly used tool is Autotools which generates a Bash script. Obtaining a software package as source code and compiling it locally is a common scenario on Unix and Unix-like ...
Software configuration management (SCM), a.k.a. software change and configuration management (SCCM), [1] is the software engineering practice of tracking and controlling changes to a software system; part of the larger cross-disciplinary field of configuration management (CM). [2] SCM includes version control and the establishment of baselines.
An attacker could also modify the .git/config configuration file, which allows the attacker to create malicious Git aliases (aliases for Git commands or external commands) or modify extant aliases to execute malicious commands when run. The vulnerability was patched in version 2.2.1 of Git, released on 17 December 2014, and announced the next day.
[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".
Build automation is the practice of building software systems in a relatively unattended fashion. The build is configured to run with minimized or no software developer interaction and without using a developer's personal computer.
A software repository, or repo for short, is a storage location for software packages.Often a table of contents is also stored, along with metadata. A software repository is typically managed by source or version control, or repository managers.
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]