Abstract
Existing conformance checking techniques focus more on the control-flow perspective rather than other aspects in a business process. This may induce misleading diagnostics. In this paper, we introduce MLA tool for multi-perspective conformance checking. In addition to control-flow, MLA brings data and privacy perspectives’ impact into conformance analysis to identify all intra- and inter-layer violations. Moreover, the tool can visualize the context in which data is processed and identify where data have been processed for unclear or secondary purposes by an authorised role. The tool has been implemented in the ProM framework. The provided user interface and graphical outputs make interpreting the conformance result simple.
| Original language | English |
|---|---|
| Title of host publication | ICPM 2021 Doctoral Consortium and Demo Track 2021 |
| Publisher | CEUR-WS.org |
| Pages | 35-36 |
| Number of pages | 2 |
| Publication status | Published - 2021 |
| Event | 3rd International Conference on Process Mining, ICPM 2021 - Eindhoven, Netherlands Duration: 31 Oct 2021 → 4 Nov 2021 Conference number: 3 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Volume | 3098 |
| ISSN (Print) | 1613-0073 |
Conference
| Conference | 3rd International Conference on Process Mining, ICPM 2021 |
|---|---|
| Abbreviated title | ICPM 2021 |
| Country/Territory | Netherlands |
| City | Eindhoven |
| Period | 31/10/21 → 4/11/21 |
| Other | 3rd International Conference on Process Mining Doctoral Consortium and Demo Track, ICPM-D 2021 |
Bibliographical note
Funding Information:ACKNOWLEDGMENT The author has received funding within the BPR4GDPR project from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 787149.
Keywords
- Conformance Checking
- Data privacy
- Multi-layer Alignment
- Multi-perspective Analysis
- Process Mining