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An Analysis and Taxonomy of Unstructured Workflows

机译:非结构化工作流的分析和分类

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摘要

Most workflow tools support structured workflows despite the fact that unstructured workflows can be more expressive. The reason for this is that unstructured workflows are more prone to errors. In this paper, we describe a taxonomy that serves as a framework for analyzing unstructured workflows. The taxonomy organizes unstructured workflows in terms of two considerations: improper nesting and mismatched split-join pairs. Based on this taxonomy we characterize situations that are well-behaved and others that are not. We also discuss well-behaved unstructured workflows that have equivalent structured mappings. Finally, we also introduce a relaxed notion of correctness called quasi-equivalence that is based on one-directional bisimulation. The results of our research will be useful for researchers investigating expressiveness and correctness issues in unstructured workflows.
机译:尽管非结构化工作流可以更具表现力,但大多数工作流工具都支持结构化工作流。原因是非结构化的工作流程更容易出错。在本文中,我们描述了一种分类法,该分类法可作为分析非结构化工作流的框架。分类从两个方面考虑来组织非结构化的工作流:不正确的嵌套和不匹配的拆分联接对。基于此分类法,我们可以对行为良好的情况进行特征化,而对其他情况则不行。我们还将讨论行为正常且具有等效结构化映射的非结构化工作流。最后,我们还引入了一种宽松的正确性概念,即基于单向双向仿真的准等价性。我们的研究结果对研究非结构化工作流程中的表达性和正确性问题的研究人员将非常有用。

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