A deep view-point language and framework for projective modeling

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摘要

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.

论文关键词:View-based modeling,Enterprise architecture modeling,Multi-level modeling,Orthographic software modeling

论文评审过程:Received 15 March 2019, Revised 29 July 2019, Accepted 10 September 2019, Available online 18 September 2019, Version of Record 25 June 2021.

论文官网地址:https://doi.org/10.1016/j.is.2019.101440