Collaborative Modeling Among Cross-Domain Teams

复杂的系统工程通常涉及许多涉众组以协调的方式在系统的不同方面工作。每个方面处理一组特定的系统关注点，并与由使用专门术语描述的问题或解决方案概念组成的领域空间相关联。特定于领域的建模语言（DSL）允许涉众组中的工程师通过构建和使用用特定于领域的术语表达抽象的模型来处理他们特定的系统开发问题。因此，由异类团队设计的复杂异类系统需要协作地使用多个dsl来支持建模系统的设计、执行和验证。******模型驱动工程（MDE）领域为支持建模、执行和验证特定于领域的模型提供了一个有前景的基础。然而，缺乏对团队和用户之间模型和语言的协作和集成的关注已经成为真正的工业采用的主要障碍，尽管最近报道了一些成功的案例。******为了使各种涉众能够在公共建模系统上协同工作，有许多基本的挑战需要解决。在这个项目中，我们将集中精力解决这种分布式环境中的可伸缩性和可用性问题。这项研究的长期目标是产生一个框架，工程师和领域专家可以协作建模和合成复杂的异构系统。******我们将研究能够处理大量大规模模型（以包含数百万个元素的数百万个模型为顺序）的模型存储库的适当存储表示和介质。通过利用框架中可用的并发性和分布式资源，执行这样的模型需要对模型转换的性能进行必要的改进。由于多个用户将通过同一模型上的多个视图来管理模型，因此框架必须确保同步，以保持模型和视图彼此一致。此外，在开发过程中，每个模型或视图都将随着时间的推移而发展，因此我们将研究一个特定于领域的版本控制系统，该系统通过考虑模型的语义和具体语法，允许适应模型领域的差异和合并机制。最后，我们相信特定于领域的用户的工作空间必须给他一种完全沉浸在他的领域中的感觉。因此，框架必须支持自动生成特定于领域的ide，这些ide可以根据每个领域和每个用户首选项进行定制。

Complex systems engineering typically involves many stakeholder groups working in a coordinated manner on different aspects of a system. Each aspect addresses a specific set of system concerns and is associated with a domain space consisting of problem or solution concepts described using specialized terminology. A domain-specific modeling language (DSL) allows engineers in a stakeholder group to address their specific system development concerns by building and using models that express abstractions in domain-specific terms. Complex heterogeneous systems engineered by heterogeneous teams thus require that multiple DSLs are used cooperatively to support design, execution, and validation of the modeled system.******The field of model-driven engineering (MDE) provides a promising foundation to support modeling, executing, and validating domain-specific models. However, the lack of focus on the collaboration and integration of models and languages among teams and users has been a major impeachment for true industrial adoption, despite some recent success stories reported.******There are many fundamental challenges to solve in order to enable various stakeholders to work collaboratively on a common modeled system. In this program, we will concentrate our efforts to address scalability and usability issues in such distributed environments. The long-term goal of this research is to produce a framework where engineers and domain-experts can collaboratively model and synthesize complex heterogeneous systems.******We will investigate the appropriate storage representation and medium for a model repository able to handle a large amount of large-scale models (in the order of millions models containing millions of elements). Executing such models requires an imperative improvement in the performance of model transformations, by taking advantage of concurrency and the distributed resources available in the framework. Because multiple users will be managing models by means of multiple views on a same model, the framework must ensure a synchronization to keep models and views consistent with each other. Furthermore, each model or view will evolve over time during the development process and thus we will investigate for a domain-specific version control system that allows differencing and merging mechanisms adapted to the domain of the model, by taking into account the semantics and concrete syntax of models. Finally, we believe that the workspace of the domain-specific user must give him a sensation of complete immersion in his domain. Therefore, the framework must support the automatic generation of domain-specific IDEs that are customizable per domain and per user preference.