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Toward an Automated View Abstraction for Distributed Model-Driven Service Development

机译:面向分布式模型驱动的服务开发的自动视图抽象

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UML view integration has been extensively studied in the area of model transformation in Model Driven Development. Empirical processing rules are among the most widely employed approaches for processing view abstraction, which can support model simplification, consistency checking, and management complexity reduction. However, empirical rules face some challenges such as completeness validation, consistency among rules, and composition priority arrangement. The challenge of rule composition is amplified in the environment of distributed model driven development for web service-based systems where redundant information/data is emphasized. The same redundant information can be expressed in different forms that comprise various topological structures for entity relationship networks representing the same part of the system. Such variation will result in choosing different compositions of rules executed in different orders, which will increase the severity of non-determinism from the empirical probability of some rules. In this paper, we propose a formal solution for addressing this challenge through constructing finite-state automaton for unifying empirical abstraction rules while relieving the side effects caused by redundancy. We investigate the effect of redundancy on rules application through designing a simulated distributed storage for an example diagram model. We also show the results obtained from a prototype implementation.
机译:在“模型驱动开发”中的模型转换领域,已经对UML视图集成进行了广泛的研究。经验处理规则是处理视图抽象的最广泛采用的方法之一,可以支持模型简化,一致性检查和管理复杂性降低。但是,经验规则面临一些挑战,例如完整性验证,规则之间的一致性以及组合优先级安排。在强调冗余信息/数据的基于Web服务的系统的分布式模型驱动开发环境中,规则组合的挑战被放大。相同的冗余信息可以以不同的形式表示,包括代表系统同一部分的实体关系网络的各种拓扑结构。这种变化将导致选择以不同顺序执行的规则的不同组成,这将增加某些规则的经验概率带来的不确定性。在本文中,我们提出了一种正式的解决方案,通过构造有限状态自动机来统一经验抽象规则,同时消除冗余造成的副作用,从而解决了这一难题。通过为示例图模型设计模拟的分布式存储,我们研究了冗余对规则应用的影响。我们还将显示从原型实现中获得的结果。

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