CRI: Collaborative Project - Repository for Model Driven Development

这个合作项目计划创建一个社区资源，其中既包含关于基于模型的开发的信息，也包含支持其研究的工具，提供了将改善基于模型的语言的使用的基础设施。这项工作旨在使对模型驱动的开发实践的研究成为可能，并为开发工具提供参考。(基于模型的方法依赖于具有精确语义的非代码构件，例如规范语言、类似于UML的建模语言等。)该项目在不同的抽象级别和不同的角度使用规范，然后将其转换为可执行的系统。该方法包括开发社区资源，该资源提供对共享构件的单点访问，这些构件反映了高质量的模型驱动开发(Model Driven Development，MDD)经验以及关于行业和学术界的知识。该存储库将从工业界和学术界以及开放源码项目中收集构件，并包含可由各种工具挖掘的语义关系。模型驱动的开发可以被视为通过构建非常高级的编程语言来提高编程生产率和其他质量措施的努力。存储库的计划涉及大量的软件基础设施。该设计基于构件、构件关系和构件集群的概念，允许使用关系从较小的构件构建复杂的构件，并使用集群以不同的方式查看这些构件。广泛的影响：帮助跨软件开发研究和实践的标准化工作，该工作通过改善沟通和提供示例来为研究和教学做出贡献。该项目包含一个与行业互动的计划，可能会扩大研究的影响。此外，它还利用与主要为少数族裔服务的机构的现有关系。

This collaborative project, planning the creation of a community resource that contains both information about model-based development and tools to support its research, provides infrastructure that will improve the use of model-based languages. The work aims at enabling research on model driven development practices and providing reference for developing tools. (Model-based approaches rely on non-code artifacts that have precise semantics, such as specification languages, UML-like modeling languages, etc.) The project utilizes specifications at various levels of abstraction and from a variety of perspectives, which are then transformed into executable systems. The approach consists on developing a community resource that provides a single point of access to shared artifacts reflecting high-quality Model Driven Development (MDD) experience and knowledge about industry and academia. The repository will collect artifacts from both industry and academia, as well as from open source projects, and contain semantic relationships that could be mined by various tools. Model driven development can be seen as an effort to increase programming productivity and other quality measures by building very high level programming languages. The plans for the repository involve a significant amount of software infrastructure. The design, based on the concept of artifact, artifact relationship, and artifact cluster, permits building complex artifacts from smaller ones using relationships, and viewing these in various ways using clusters.Broader Impact: Helping the standardization efforts across the spectrum of software development research and practices, the work contributes to research and teaching by improving communication and providing examples. The project contains a plan for interaction with industry that could broaden the influence of the research. Moreover, it also leverages existing relationships with predominantly minority-serving institutions.