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Collection and Elicitation of Business Process Compliance Patterns with Focus on Data Aspects

机译:集合和引出业务流程合规模式,重点是数据方面

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摘要

Business process compliance is one of the prevalent challenges for companies. Despite an abundance of research proposals, companies still struggle with manual compliance checks and the understanding of compliance violations in the light of missing root-cause explanations. Moreover, approaches have merely focused on the control flow perspective in compliance checking, neglecting other aspects such as the data perspective. This paper aims at analyzing the gap between existing academic work and compliance demands from practice with a focus on the data aspects. The latter emerges from a small set of regulatory documents from different domains. Patterns are assumed as the right level of abstraction for compliance specification due to their independence of (technical) implementation in (process-aware) information systems, potential for reuse, and understandability. A systematic literature review collects and assesses existing compliance patterns. A first analysis of ten regulatory documents from different domains specifically reveals data-oriented compliance constraints that are not yet reflected by existing compliance patterns. Accordingly, data-related compliance patterns are specified.
机译:业务流程合规是公司普遍的挑战之一。尽管有丰富的研究建议,但公司仍然争取手动合规性检查,并根据缺失的根本原因解释,了解合规性违规的理解。此外,方法仅仅关注控制流程透视,忽略诸如数据视角的其他方面。本文旨在分析现有学术工作与遵守实践之间的差距,重点关注数据方面。后者从不同领域的一小组监管文件中出现。由于其独立于(技术知识)信息系统,重用潜力和可理解性,假设样式作为合规规范的正确抽象级别。系统文献综述收集并评估现有的合规模式。第一次分析来自不同域的十个监管文件,具体揭示了尚未反映现有的合规模式的数据导向的合规限制。因此,指定了数据相关的合规模式。

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