State-of-the-art of Business Process Compliance Approaches: A Survey (Extended Abstract)
State-of-the-art of Business Process Compliance Approaches: A Survey (Extended Abstract)
复制标题
最先进的业务流程合规方法：调查（扩展摘要）
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Andrea Zasada
中科院分区：
文献类型：
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作者：
M. Fellmann;Andrea Zasada
合规性意味着确保业务实践和流程符合普遍接受的规范。公司需要遵守越来越多的不同来源和复杂程度的法规。法律规定的条例应给予最高优先。其他规章可从最佳做法框架、公司内部标准和公司间业务合同中产生。两者都是必要的，以形成一个公司的合规政策，以满足特定的业务要求。业务流程合规性（BPC）方法寻求发现方法和技术，以简化这些合规性法规的实施。这些方法揭示了不同的流程建模语言和场景，用于映射相关的合规规则和检测违规行为。这一贡献提供了一个概述的国家的最先进的业务流程合规性的方法进行文献综述。将对这些文献进行分析，并将其分为四个方面。第一个维度包括一般业务流程建模的变量，如订单、信息、位置和资源。第二个维度涉及过程建模的时间方面。第三个维度区分了BPC和验证/确认方法。最后一个维度指定是否开发了方法或技术人工制品。研究结果将用于可视化最先进的BPC。
Compliance means to ensure that business practice and processes are aligned at commonly accepted norms. Companies are expected to comply with an increasing number of regulations of different origin and complexity. Regulations that are required by law are given the highest priority. Other regulations can be derived from best practice frameworks, company internal standards and inter-company business contracts. Both are necessary to form a company’s compliance policy which meets particular business requirements. Business Process Compliance (BPC) approaches seek to discover methods and techniques to ease the implementation of these compliance regulations. The approaches reveal different process modelling languages and scenarios for mapping relevant compliance rules and the detection of compliance violations. This contribution provides an overview on the state-ofthe-art of business process compliance approaches by conducting a literature review. The literature will be analysed and divided into four dimensions. The first dimension includes variables of general business process modelling, such as order, information, location and resource. The second dimension deals with temporal aspects of process modelling. The third dimension differentiates between BPC and verification/validation approaches. The last dimension specifies whether a method or a technical artefact was developed. The findings will be used to visualize the state-of-the-art of BPC.
影响因子：
3.9
作者：
Kitchenham, Barbara;Brereton, O. Pearl;Linkman, Stephen
通讯作者：
Linkman, Stephen