面向多学科分析的工作流语义自动分组(CS)

在可视化开发环境中设计多学科工具工作流时，研究人员和工程师经常将功能上的仿真工具和仅仅通过文件格式之间的转换来确保技术兼容性的辅助工具结合起来。如果开发环境不提供对这类工具组的本地支持，所开发工作流的可维护性将随着复杂性的增加而迅速恶化。

我们提出了一种方法，通过将工作流转换为一个图，并应用图聚类算法来自动识别在RCE实现的多学科工作流中密切相关的工具组。进一步，我们实现了这种方法，并对多种聚类算法进行了评估。我们的结果强烈地表明，这种方法可以在RCE工作流中产生一组密切相关的工具，但同时也表明，这个问题的解决方案必须针对每种特定的工作流设计风格进行定制。

原文题目：Towards Automated Semantic Grouping in Workflows for Multi-Disciplinary Analysis

原文：When designing multidisciplinary tool workflows in visual development environments, researchers and engineers often combine simulation tools which serve a functional purpose and helper tools that merely ensure technical compatibility by, e.g., converting between file formats. If the development environment does not offer native support for such groups of tools, maintainability of the developed workflow quickly deteriorates with an increase in complexity.

We present an approach towards automatically identifying such groups of closely related tools in multidisciplinary workflows implemented in RCE by transforming the workflow into a graph and applying graph clustering algorithms to it. Further, we implement this approach and evaluate multiple clustering algorithms. Our results strongly indicate that this approach can yield groups of closely related tools in RCE workflows, but also that solutions to this problem will have to be tailor-made to each specific style of workflow design.