Method for Local Correction of Well-Structured Process Model based on the Information from the Event Log

During the evolution of the information system (IS), up-to-date process model supporting is important part for valid system functioning. Changes in behavior need to be identified as soon as possible to take in time the right strategic decisions, based on these corrections. Process-Aware Information Systems contain event logs, storing process execution information. These event logs are applicable for analysis and enhancement of the old process model. The most obvious way for correction is complete process rebuilding. However, this method doesn’t guarantee saving the original structure of the model that can be сritical condition for future process analysis. One of the possible method for local process correction with saving (if possible) the original process structure will be presented in this work. The aim of the work is method development and implementation, based on the use Grammar Parse Tree for searching unfitting parts of model. The paper contains 43 pages, 4 chapters, 40 illustrations, 6 tables, 22 bibliography items and 6 appendices. Keywords: process mining, model synthesis, conformance checking, process repairing, local correction, BPMN notation, grammar parse tree, plug-in ProM 6 Framework