Abstract | ||
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Business processes evolve dynamically with changing business demands. Because of these fast changes, traditional process improvement techniques have to be adapted and extended since they often require a high degree of manual work. To reduce this degree of manual work, the automated planning of process models is proposed. In this context, we present a novel approach for an automated construction of the control flow structure simple merge (XOR join). This ac-counts for a necessary step towards an automated planning of entire process models. Here we build upon a planning domain, which gives us a general and formal basis to apply our ap-proach independently from a specific process modeling language. To analyze the feasibility of our method, we mathematically evaluate the approach in terms of key properties like termina-tion and completeness. Moreover, we implement the approach in a process planning software and apply it to several real-world processes. |
Year | Venue | Field |
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2016 | ECIS | Business process management,Business process,Computer science,Process modeling,Control flow,Knowledge management,Software,Business process modeling,Completeness (statistics),Process mining |
DocType | Citations | PageRank |
Conference | 3 | 0.42 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bernd Heinrich | 1 | 66 | 10.57 |
Dominik Schön | 2 | 14 | 3.64 |