State of the Art: Automatic Generation of Business Process Models

Manual Business Process Modeling can be a time-consuming and error-prone process, resulting in low-quality models. Therefore, various approaches have been proposed in research and practice to partially or fully automate the creation of business process models. We conducted a systematic literature review (LR) on automatic generation of business process models. The LR demonstrates that there exist various approaches for automated generation of business process models, which differ in terms of the input data, generation methods, and modeling languages utilized. Despite active research into automatic model generation, there is still considerable scope for improvement. New technologies are continually being developed to support automatic model generation. Additionally, the increasing digitalization of processes and organizations generates vast amounts of data that can be harnessed for modeling.