在本文中，提出了一种使用模型驱动体系结构（MDA）概念的Zakat计算模型（ZCM）元建模的新方法。 本文还强调了我们在本文的背景下我们先前工作的三个有趣的贡献，特别是为了更好地理解提案。 基于ZCM的进程称为ZCMGProcess，基于MOF的元模型称为ZC2M，以及基于元模型的工具称为ZCMGenerator。 该工具已被用来证明所提议方法的可行性并促进其被采用。 这项工作中采用的方法是受体系结构驱动的现代化（ADM）概念的启发，并尊重MDA的四层体系结构。

TMD 2.5 是一个 Matlab 工具箱，用于访问由俄勒冈州立大学 (OSU) 和地球与空间研究 (ESR) 创建的正压潮汐模型中潮汐谐波成分的系数，并用于预测潮汐高度和潮流。 TMD 2.5包含两个组件：（1）一组用于访问潮汐场并进行预测的脚本； （2）图形用户界面（GUI），用于快速浏览潮汐场，放大感兴趣的区域以及选择点和时间范围以预测特定变量。 TMD 与： • 北极和南极模型可从 ESR 的网页 ( https://www.esr.org/research/polar-tide-models/ ) 获得• OSU ( https://www.tpxo.net ) 以二进制格式提供的全球和区域模型，所有成分都在一个文件中。 TMD最初由OSU的Lana Erofeeva编写，并得到维护和更新作者：劳里·帕德曼 (padman@esr.org) 在 ESR。 我们感谢 NA

This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development, as demonstrated by various quantitative and qualitative studies. MDSE adoption in the software industry is foreseen to grow exponentially in the near future, e.g., due to the convergence of software development and business analysis. The aim of this book is to provide you with an agile and flexible tool to introduce you to the MDSE world, thus allowing you to quickly understand its basic principles and techniques and to choose the right set of MDSE instruments for your needs so that you can start to benefit from MDSE right away. The book is organized into two main parts. The first part discusses the foundations of MDSE in terms of basic concepts (i.e., models and transformations), driving principles, application scenarios, and current standards, like the well-known MDA initiative proposed by OMG (Object Management Group) as well as the practices on how to integrate MDSE in existing development processes.

pyart：Python-ARM雷达工具包。 由数据模型驱动的交互式工具包，用于处理天气雷达数据

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Systems and enterprises (often referred to as systems-of-systems) that employ multiple advanced technologies and achieve ever-higher levels of complexity have become mainstays of the modern world. Managing the complexity of these systems, especially to create solutions to the needs of system users and other stakeholders within acceptable cost and schedule, is a recurring challenge to the Systems Engineering (SE) community. Spectacular progress in mechanical and electronic devices, materials, sensors, energy generation and control, vehicles and propulsion, communications and networking, computing and software, and many other fields creates both new capabilities and new demands for tools and methods to effectively exploit them. Communities as diverse as the sciences, commercial enterprises, education, government, academia, and the military frequently report that programs aimed at delivering new capabilities based on advanced technology have overrun their budgets and schedules, failed to meet their objectives, or simply overwhelmed the capabilities of system developers and users.

可扩展的测试工具适配器；自动生成，一键执行

软件开发是一项复杂而困难的任务，需要投入足够的资源并承担重大的失败风险。 模型驱动工程（MDE）专注于创建软件模型并自动从模型生成代码。 模型驱动软件开发（MDSD）提供了更为有效的方法。 这些方法改善了构建软件的方式。 模型驱动的方法部分提高了开发人员的生产力，降低了软件构建的成本，提高了软件的可重用性，并使软件更易于维护。 本文研究了将模型驱动的软件开发与软件产品线（SPL）集成在一起的方法。 自2014年以来，该SLR进行了71项研究工作的鉴定。我们收集了18种工具，14种技术和17种语言用于MDSD SPL。 我们分析哪种技术适合SPL。 我们根据这些工具提供的功能对技术进行比较，以了解更高质量的结果。

网上选课系统 UML，类图，部署图，用例图，活动图，顺序图。