Evaluation datasets and results for the paper "Enhancing Business Process Simulation Models with Extraneous Activity Delays"

Event-logs and Business Process Simulation Models used in the experimentation of the paper "Enhancing Business Process Simulation Models with Extraneous Activity Delays", where the 'inputs' folder contains all the files used as input, and the 'output' folder the results of the evaluation.

Inputs: event-logs, BPS models, and simulation parameters used as input in the experimentation.

• Real-life: real-life event logs, corresponding to two disjoint subsets of traces from an Academic Credentials' process, and the BPIC 2012 and BPIC 2017 event logs (filtered as explained in the paper), and the BPS model (plus simulation parameters) used as input for each dataset in the presented approach.
• Synthetic: simulated event-logs and corresponding BPS models (plus simulation parameters) for four different processes with 0, 1, 3 and 5 timer events.

Outputs: results of the experimentation.

• Real-life: results corresponding to the evaluation with real-life event logs. Each of the folders is composed by the original and the enhanced BPS models, 10 event logs simulated with each of them, two folders with the best iteration of the two hyperparameter optimization processes, and the values for the injected timers in each case. In addition, a CSV file with the EMD metrics (cycle time and absolute hour event distribution) for each dataset is provided.
• Synthetic: results corresponding to the simulated event-logs.
  • Before-After: BPS models and discovered timer events for the four synthetic processes, with five timers placed before and after different activity instances.
  • Complete: BPS models and quality measures (precision, recall, and SMAPE of the discovered timers) for the four synthetic processes with zero, one, three, and five timer events.
  • Individual: event logs enhanced with the discovered extraneous delay for each activity instance, for the four synthetic processes with zero, one, three, and five timer events; and SMAPE of the estimations.