Reusing Your Favourite Analysis Framework to Handle Workflows of Product Line Models

Logan Murphy, Alessio Di Sandro, Ramy I. Shahin, M. Chechik
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引用次数: 0

Abstract

Model management frameworks support a wide array of analyses, transformations, and workflows, but lack native support for handling product lines of models. Yet the ubiquity of domains that heavily use model-driven techniques and are built using product lines, such as automotive, require adaptation, or lifting, of model management frameworks to be variability-aware. Lifting might introduce new implementation and validation costs, especially in safety-critical contexts. To facilitate the implementation and validation of variability-aware model management workflows, this paper provides a novel taxonomy of lifting methods. We compare the lifting methods in their capacity to reuse existing components and validation results. We then define a general framework for lifting and validating model management workflows, and report on an experience of lifting and validating modeling tasks and workflows in an existing Eclipse-based model management framework.
重用你最喜欢的分析框架来处理产品线模型的工作流
模型管理框架支持广泛的分析、转换和工作流,但是缺乏对处理模型产品线的本地支持。然而,大量使用模型驱动技术并使用产品线(如汽车)构建的领域的普遍存在,需要适应或提升模型管理框架以具有可变性意识。提升可能会引入新的实现和验证成本,特别是在安全关键的上下文中。为了促进可变性感知模型管理工作流的实现和验证,本文提供了一种新的提升方法分类。我们比较了提升方法的能力,以重用现有的组件和验证结果。然后我们定义一个提升和验证模型管理工作流的通用框架,并报告在现有的基于eclipse的模型管理框架中提升和验证建模任务和工作流的经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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