Models and Logs used in the paper ‘Aligning Partially-Ordered Process-Execution Traces and Models Using Automated Planning’ accepted for ICAPS 2018
datasetposted on 14.03.2018 by G. (Giacomo) Lanciano, Massimiliano de Leoni
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This dataset contains 4 models of increasing sizes and a number of event logs generated through the PLG2 tool. The event logs are grouped in three categories, according to the average number of events in a trace with the same timestamps (referred to as isochronous groups of events). For each isochronous category and for each of the 4 models, 4 event logs are present, with no deviations and with 10%, 20%, 30% of event's swapping frequency)