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Qbs (pronounced Cubes) is a cross-platform free and open-source software for managing the build process of software.It was designed to support large, complex projects, written in any number of programming languages, primarily C/C++.
A software build is the process of converting source code files into standalone software artifact(s) that can be run on a computer, or the result of doing so. [1]In software production, builds optimize software for performance and distribution, packaging into formats such as '.exe'; '.deb'; '.apk'.
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
Bazel is extensible with the Starlark programming language. [13] Starlark is an embedded language whose syntax is a subset of the Python syntax. However, it doesn't implement many of Python's language features, such as the ability to access the file I/O, in order to avoid extensions that could create side-effects or create build outputs not known to the build system itself.
It offers the ability to create, manage, and link artifacts from the beginning through the end of a design and development project [8] providing end-to-end traceability of all development artifacts [9] and giving managers a better handle on the shifting requirements that define their projects. [6]
[5] [7] [8] Microsoft Deployment Toolkit generates a custom Windows PE (Preinstallation Environment) image that allows client machines to install the assembled deployment packages over the network from the MDT server. [7] [8] This Windows PE disk image can be burned to and booted from a CD, or booted with Windows Deployment Services. When ...
In end-user development an artifact is either an application or a complex data object that is created by an end-user without the need to know a general programming language. Artifacts describe automated behavior or control sequences, such as database requests or grammar rules, [1] or user-generated content. Artifacts vary in their maintainability.
share their code, data and models as reusable Python components and automation actions [3] with unified JSON API, JSON meta information, and a UID based on FAIR principles [2] assemble portable workflows from shared components (such as multi-objective autotuning and Design space exploration [ 4 ] )