Name
Abstract | ||
|---|---|---|
Business process architectures are an important vehicle to organize business process models of an organization, since they provide a holistic view on the interrelationships between business process models. Current techniques to design business process architectures derive them directly from a repository of process models, neglecting processes execution information like event logs. In this paper, we propose an approach for automatically discovering a business process architecture from a set of event logs. The resulting architecture captures behavioral dependencies between two or more business process models, using information stored in event logs. We extended an existing business process architecture representation to accommodate such behavior. The application of the approach on two real-life event logs shows its effectiveness in discovering the intricate dependencies between business processes, based on data. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-85440-9_10 | BUSINESS PROCESS MANAGEMENT FORUM (BPM 2021) |
Keywords | DocType | Volume |
Business process architecture, Process mining, Event log | Conference | 427 |
ISSN | Citations | PageRank |
1865-1348 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dorina Bano | 1 | 1 | 1.72 |
| Adriatik Nikaj | 2 | 15 | 3.31 |
| Mathias Weske | 3 | 0 | 1.01 |