面向BPM系统中更好的变更管理的概率方法

C. Cherif
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引用次数: 0

摘要

业务流程建模已成为信息系统领域中一个成熟的研究课题。尽管如此,业务流程模型仍在不断发展,以便企业能够更好地响应市场需求并影响不同涉众的需求,从而构建和保持其竞争优势。在这方面,我们提出一种声明性(基于规则的)方法,该方法利用业务流程模型的工件(例如活动、数据和角色)之间的关系。它还可以考虑变更的上下文和过程中不同元素之间依赖关系的历史。然后,我们可以使用概率、知识库或进化算法所做的推理来试验变化影响预测。这可能有助于更好地评估计划变更的影响程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Probabilistic Approach for Better Change Management in BPM Systems
The business process modeling has become a mature subject in the research of information systems domain. Although, the business process models remain in consistent evolution to be available for the enterprises to better respond to the market needs and to inflect the needs of different stakeholders, in consequence to construct and preserve their competitive advantages. In this regard, we propose a declarative (rule-based) approach which exploit the relationships among the artifacts (e.g. activities, data, and roles) of a business process model. It may also consider the context of the change and the history of dependencies among different elements of the process. We may then experiment the change impact prediction using inference made by either the probabilities, knowledge-base, or evolutionary algorithms. It may help to better assess the volume of impact, as a result of the planned change.
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