CRI: A Repository for Model Driven Development

这个合作项目，计划创建一个社区资源，其中包含有关基于模型的开发和工具，以支持其研究的信息，提供基础设施，将改善基于模型的语言的使用。该工作旨在使模型驱动的开发实践的研究和开发工具提供参考。（基于模型的方法依赖于具有精确语义的非代码工件，例如规范语言，UML类建模语言等。该项目利用各种抽象级别和各种视角的规范，然后将其转换为可执行系统。该方法包括开发一个社区资源，该资源提供了对共享工件的单点访问，反映了高质量的模型驱动开发（MDD）经验和有关行业和学术界的知识。该存储库将收集来自工业界和学术界以及开源项目的工件，并包含可以通过各种工具挖掘的语义关系。模型驱动开发可以被看作是通过构建非常高级的编程语言来提高编程生产力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。该设计基于工件、工件关系和工件簇的概念，允许使用关系从较小的工件构建复杂的工件，并使用簇以各种方式查看这些工件。更广泛的影响：帮助整个软件开发研究和实践领域的标准化工作，通过改善沟通和提供示例，为研究和教学做出贡献。该项目包含一项与工业界互动的计划，可以扩大研究的影响。此外，它还利用与主要为少数群体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.