{"title":"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","authors":"F. Bukhsh, H. Weigand","doi":"10.1109/FIT.2017.00049","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":107273,"journal":{"name":"2017 International Conference on Frontiers of Information Technology (FIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Compliance Checking of Shipment Request by Utilizing Process Mining Concepts: An Evaluation of Smart Auditing Framework\",\"authors\":\"F. Bukhsh, H. Weigand\",\"doi\":\"10.1109/FIT.2017.00049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":107273,\"journal\":{\"name\":\"2017 International Conference on Frontiers of Information Technology (FIT)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Frontiers of Information Technology (FIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FIT.2017.00049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Frontiers of Information Technology (FIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FIT.2017.00049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.