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.
Original language | English |
---|---|
Title of host publication | 2017 International Conference on Frontiers of Information Technology (FIT) |
Publisher | IEEE |
Pages | 235-240 |
Number of pages | 6 |
ISBN (Electronic) | 9781538635674 |
DOIs | |
Publication status | Published - Jan 2018 |
Event | 15th International Conference on Frontiers of Information Technology, FIT 2017 - Islamabad, Pakistan Duration: 18 Dec 2017 → 20 Dec 2017 Conference number: 15 |
Conference
Conference | 15th International Conference on Frontiers of Information Technology, FIT 2017 |
---|---|
Abbreviated title | FIT |
Country/Territory | Pakistan |
City | Islamabad |
Period | 18/12/17 → 20/12/17 |
Keywords
- Compliance checking
- information auditing
- process mining