SysML.py - 基于Python的系统建模语言工具包.zip

# SysML.py > A Python package for the Systems Modeling Language (SysML) [](https://opensource.org/licenses/Apache-2.0) [](https://travis-ci.com/spacedecentral/SysML.py) [](https://coveralls.io/github/spacedecentral/SysML.py?branch=dev) [](http://makeapullrequest.com) **SysML.py** is an open source, Apache-licensed library providing a [Python](https://www.python.org) implementation of the [Systems Modeling Language](https://sysml.org) (SysML) for practicing [Model-Based Systems Engineering](https://www.incose.org/docs/default-source/delaware-valley/mbse-overview-incose-30-july-2015.pdf) (MBSE). ## Package Contents - `sysml/system.py` - module for creating a `Model` object, which serves as a central namespace for model elements (and relationships between elements). - `sysml/elements/` - modules for creating model elements, divided into 4 pillars: structure, behavior, requirements, and parametrics. These objects are intended to be subsumed by a `Model` object. ## Developer Notes This project is still in pre-alpha. For a more detailed overview on design, usage, and features, please refer to [Design considerations for initial package release](https://github.com/spacedecentral/SysML.py/issues/1). ### Development Pipeline The following [semver](https://semver.org/) releases are being considered for the development pipeline for SysML.py: - `0.x.y` - a standalone python implementation of SysML - `1.x.y` - a full profile implementation of the current SysML ([v1.5](https://sysml.org/docs/specs/OMGSysML-v1.5-17-05-01.pdf)) specification - `2.x.y` - a full profile implementation of the upcoming SysML ([v2.0](https://www.phoenix-int.com/wp-content/uploads/2018/05/Phx2018UC_KEYNOTE_Friedenthal.pdf)) specification ## Contributing Optional (but recommended for viewing GitHub issues): Install the [ZenHub for GitHub](https://chrome.google.com/webstore/detail/zenhub-for-github/ogcgkffhplmphkaahpmffcafajaocjbd?hl=en-US) chrome extension. 1. Fork it (<https://github.com/yourusername/SysML.py/fork>) 2. Create your feature branch (`git checkout -b feature/logarithms`) 3. Commit your changes (`git commit -am 'Add some logarithms'`) 4. Push to the branch (`git push origin feature/logarithms`) 5. Create a new Pull Request