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Evaluation datasets and results of the paper "A Framework for Measuring the Quality of Business Process Simulation Models"

Authors: Chapela-Campa, David; Benchekroun, Ismail; Baron, Opher; Dumas, Marlon; Krass, Dmitry; Senderovich, Arik;

Evaluation datasets and results of the paper "A Framework for Measuring the Quality of Business Process Simulation Models"

Abstract

Datasets and files used in the evaluation of the publication entitled "A Framework for Measuring the Quality of Business Process Simulation Models", where: BPS-models/: folder containing the BPS models used in the evaluation (the BPS models discovered by ServiceMiner are not included due to privacy reasons). The BPS models discovered by SIMOD are composed of i) a BPMN file with the process model structure, and ii) a JSON file with the parameters of the simulation. These files correspond to the format of Prosimos simulation engine (https://prosimos.cloud.ut.ee/). The BPS models of the Loan Application and Procure to Pay processes are composed of a BPMN file with both the process model structure and parameters, corresponding to the format of the BIMP simulator used in APROMORE (https://apromore.com/). measures/: folder containing the distance values of each measure reported in the paper. original-event-logs/: folder containing the (train and test) event logs used in the evaluation. simulated-logs/: folder containing the simulated logs evaluated in the paper (synthetic, SIMOD, and ServiceMiner). ComputeLogDistance.py: script to compute the distance measures proposed in the paper. To evaluate the distance measures of a set of simulated event logs in the folder simulated_logs/ against the test log test_event_log.csv.gz, run: python ComputeLogDistance.py -cfld test_event_log.csv.gz simulated_logs/ *The flag -cfld is optional, due to the high computational complexity of the CFLD measure. WARNING: set the column names of each log accordingly (where log_1_ids are the IDs of the test log, and log_2_ids the IDs of the simulated logs). Examples: # Column IDs for the (train/test) real-life logs, and the SIMOD simulated logs. EventLogIDs( case='case_id', activity='activity', start_time='start_time', end_time='end_time', resource='resource' ) # Column IDs for the Loan Application and Procure to Pay simulated logs. EventLogIDs( case='case_id', activity='activity', start_time='Start_Time', end_time='End_Time', resource='resource' ) # Column IDs for the ServiceMiner simulated logs. EventLogIDs( case='case_id', activity='Activity', start_time='start_time', end_time='end_time', resource='Resource' )

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Keywords

Process Mining, Simulation Quality, Business Process Simulation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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