Paper
3 October 2022 A conformance check method for evaluating the fitness of a process model with duplicate tasks
Yuheng Zhang, Li Zeng
Author Affiliations +
Proceedings Volume 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022); 1229007 (2022) https://doi.org/10.1117/12.2640717
Event: International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 2022, Zhuhai, China
Abstract
Token-based replay have become a convention commonly known as a standard method for conformance checking because they are able to calculate the fitness of the model to the behavior contained in the event log. However, it does not automatically handle duplicate tasks. In the case of simultaneous enabled duplicate tasks, the token-based replay method will randomly execute duplicate tasks. If the chosen execution path is not the correct one, the replay of subsequent trajectories may be affected and the process model cannot be effectively evaluated. This research aims to solve the above problems and proposes a fitted evaluation method for duplicate tasks, which executes all possible paths in turn, and at the same time, fitly evaluates the quality of mining models that contain duplicate tasks. The experimental results show that the proposed method can provide a good reference standard for evaluating models with duplicate tasks.
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Yuheng Zhang and Li Zeng "A conformance check method for evaluating the fitness of a process model with duplicate tasks", Proc. SPIE 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 1229007 (3 October 2022); https://doi.org/10.1117/12.2640717
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KEYWORDS
Process modeling

Mining

Data modeling

Standards development

Systems modeling

Data processing

Diagnostics

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