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Multi Back-Ends for a Model Library Abstraction Layer

机译:模型库抽象层的多背面

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Software development is moving in the direction of modeling as do quite a lot of other IT related tasks. This means, models become more and more important either as a means of communication or as parts of realizations. Unfortunately, these models are rarely reused which might be due to poor tool support. A model recommender system is one possible way out, but it bases on high quality data which is most likely stored in a database and needs to blend into an environment. Hence, approaching model recommendations in a model driven way and generating the underlying data store which makes do with an existing infrastructure is desirable. In this paper we describe the underlying model and the obstacles we had to overcome to make this approach work for relational and non relational databases.
机译:软件开发正朝着建模方向移动,如同许多其他IT相关任务。这意味着,模型变得越来越重要,也变得越来越重要,也变得越来越重要,或者作为沟通方式或作为实现的一部分。不幸的是,这些模型很少重复使用,这可能是由于工具支持不佳。模型推荐系统是一种可能的方式,但它基于高质量数据,最有可能存储在数据库中,并且需要将其融入环境中。因此,在模型驱动的方式中接近模型建议并生成与现有基础设施进行的底层数据存储。在本文中,我们描述了潜在的模型和我们必须克服的障碍,以使这种方法适用于关系和非关系数据库。

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