Improving the Capabilities and Applicability of Umple

提升Umple的能力和适用性

• 批准号: RGPIN-2016-05087
• 负责人: Lethbridge, Timothy
• 金额: $ 1.89万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=615490
• 关键词: Improving; Capabilities; Applicability; Umple

In this work we will enable practitioners and students to develop better software by blending easy-to-use model-driven engineering with software engineering techniques such as agile methods and test-driven development. We will achieve this by continued work on Umple, a textual modeling technology that works seamlessly with existing programming languages and generates fully functional systems, diagrams, documentation and analysis results. Umple is textual because most programmers prefer to develop textually, and we want to be able to blend modeling into their work and thus encourage the use of modeling. Umple generates diagrams dynamically to facilitate analysis and understanding of models. Umple comprehensively incorporates Unified-Modeling Language (UML) modeling elements including class diagrams, composite structure diagrams and state machines. We have conducted empirical studies that have shown that Umple is easy to use. It is being used in both academic and industrial environments. In the proposed work we will 1) improve Umple’s real-time code generation, particularly for concurrent, distributed composite structure models; 2) improve its separation-of-concerns mechanisms, particularly traits, variants and their synergies; 3) incorporate the requirements modeling standard GRL; and 4) enhance model analysis and validation. We will also continue to enhance Umple’s debugging capability, and integration with other tools such as Papyrus. As case studies, we will apply our work to two domains: 1) Enterprise models for municipalities and universities, 2) Small autonomous model cars based on Arduino processors with CAN networking and various sensors (cameras with scene analysis and Lidar). The Umple-based platform will allow groups of researchers and even undergraduate or high-school students to explore different architectures and algorithms for autonomous driving. As with much of our recent research, we will follow a design-science approach, exploring opportunities that arise as we improve the design of both Umple itself and the software being developed in the above case studies. We will also conduct studies of users actually using Umple. Development of Umple will continue to be performed in a fully agile open-source manner, using model-driven development (Umple is developed in itself), test-driven development and continuous integration. The Umple project itself will continue to serve as a teaching tool for how to run a software engineering project.

在这项工作中，我们将通过将易于使用的模型驱动工程与敏捷方法和测试驱动开发等软件工程技术相结合，使从业者和学生能够开发出更好的软件。 我们将通过继续开发 Umple 来实现这一目标，Umple 是一种文本建模技术，可与现有编程语言无缝协作并生成功能齐全的系统、图表、文档和分析结果。 Umple 是文本式的，因为大多数程序员更喜欢以文本方式进行开发，我们希望能够将建模融入到他们的工作中，从而鼓励使用建模。 Umple 动态生成图表以促进模型的分析和理解。 Umple 全面整合了统一建模语言 (UML) 建模元素，包括类图、复合结构图和状态机。我们进行的实证研究表明，Umple 易于使用。它正在学术和工业环境中使用。 在拟议的工作中，我们将 1）改进 Umple 的实时代码生成，特别是对于并发、分布式复合结构模型； 2）改进其关注点分离机制，特别是特征、变体及其协同作用； 3）纳入需求建模标准GRL； 4）加强模型分析和验证。 我们还将继续增强 Umple 的调试能力，以及与 Papyrus 等其他工具的集成。 作为案例研究，我们将把我们的工作应用于两个领域：1）市政当局和大学的企业模型，2）基于 Arduino 处理器、CAN 网络和各种传感器（具有场景分析和激光雷达的摄像头）的小型自动驾驶模型汽车。基于 Umple 的平台将允许研究人员群体甚至本科生或高中生探索自动驾驶的不同架构和算法。 与我们最近的大部分研究一样，我们将遵循设计科学方法，探索在改进 Umple 本身和上述案例研究中开发的软件的设计时出现的机会。我们还将对实际使用 Umple 的用户进行研究。 Umple的开发将继续以完全敏捷的开源方式进行，采用模型驱动开发（Umple自行开发）、测试驱动开发和持续集成。 Umple 项目本身将继续作为如何运行软件工程项目的教学工具。