利用流程挖掘概念对装运请求进行合规性检查:对智能审计框架的评估

F. Bukhsh, H. Weigand
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引用次数: 6

摘要

风险法规和遵从性管理要求业务控制自动化。业务流程执行产生事件日志,对这些日志的分析可以为组织产品和/或服务改进产生有价值的知识。在本文中,我们探索了发货请求的监控场景,并基于智能审计框架对其进行了评估。在模拟数据上评估流程挖掘技术和业务流程本体的组合,以便确定PROM插件的审计/监视功能。初步评估表明,基于规则的审计对PROM工具中的机器生成数据是成功的。此外,本文还强调了用于智能审计框架评估的ltl检查器(PROM插件)中缺乏自动规则翻译。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compliance Checking of Shipment Request by Utilizing Process Mining Concepts: An Evaluation of Smart Auditing Framework
Risk regulations and compliance management require business controls automation. Business processes execution yield event logs and analysis of these logs can produce valuable knowledge for organizational product and/or service improvements. In this paper we have explored a monitoring scenario of shipment request and evaluated it on the basis of Smart auditing framework. A combination of process mining techniques and business process ontologies is evaluated on simulated data in order to identify the auditing/monitoring capability of PROM plug-in’s. The initial evaluation revealed that rule based audit is successful on machine-crafted data in PROM tool. Moreover, this paper also highlights lack of automated rule translation in LTL-checker (PROM plug-in) for smart audit frameworks evaluations.
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