Most view-based modeling approaches are today based on a “synthetic” approach in which the views hold all the information modeled about a system and are kept consistent using explicit, inter-view correspondence rules. The alternative “projective” approach, in which the contents of views are “projected” from a single underlying model on demand, is far less widely used due to the lack of suitable conceptual frameworks and languages. In this paper we take a step towards addressing this problem by presenting the foundations of a suitable language and conceptual framework for defining and applying views for projective modeling. The framework leverages deep modeling in order to seamlessly support views that exist at, and span, multiple levels of classification. The viewpoint language was developed in the context of Orthographic Software Modeling but is more generally applicable to any projective modeling approach.

今天，大多数基于视图的建模方法都是基于“合成”方法的，其中视图包含有关系统建模的所有信息，并使用明确的视图间对应规则保持一致。由于缺乏合适的概念框架和语言，替代性的“投影”方法（根据需要从单个基础模型“投影”视图的内容）的用途远未广泛使用。在本文中，我们通过介绍一种合适的语言和概念框架的基础来解决这个问题，该语言和概念框架用于定义和应用投影建模的视图。该框架利用深度建模来无缝支持存在于多个分类级别并跨越多个分类级别的视图。