Efficient Syntactic Process Difference Detection Using Flexible Feature Matching
Efficient Syntactic Process Difference Detection Using Flexible Feature Matching
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DOI：
10.1007/978-3-319-08222-6_8
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发表时间：
2014-07
期刊：
影响因子：
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通讯作者：
Keqiang Liu;Zhiqiang Yan;Yuquan Wang;L. Wen;Jianmin Wang
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文献类型：
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作者：
Keqiang Liu;Zhiqiang Yan;Yuquan Wang;L. Wen;Jianmin Wang
如今，业务流程管理在组织管理中发挥着重要作用。越来越多的组织将其运营描述为业务流程 组织拥有数千个业务流程模型的集合是很常见的。由于不同组织和部门的规则或习惯不同，同一流程通常会有不同的建模。即使在同一组织的子公司中，流程模型也各不相同，因为这些流程模型会不时地重新设计，以不断提高管理和运营的效率。因此，需要技术来分析相似过程模型之间的差异。当前的技术可以检测将一种过程模型修改为另一种过程模型所需的操作。然而，这些操作都是基于活动的，语法意义有限。在本文中，我们根据工作流程模式定义差异，并提出一种有效检测这些差异的技术。实验表明这些差异确实存在于现实的流程模型中，并且有助于分析业务流程模型之间的差异。
Nowadays, business process management plays an important role in the management of organizations. More and more organizations describe their operations as business processes It is common for organizations to have collections of thousands of business process models. The same process is usually modeled differently due to the different rules or habits of different organizations and departments. Even in the subsidiaries of the same organization, process models vary from each other, because these process models are redesigned from time to time to continuously enhance the efficiency of management and operations. Therefore, techniques are required to analyze differences between similar process models. Current techniques can detect operations required to modify one process model to the other. However, these operations are based on activities and the syntactic meanings are limited. In this paper, we define differences based on workflow patterns and propose a technique to detect these differences efficiently. The experiment shows that these differences indeed exist in real-life process models and are useful to analyze differences between business process models.