Process mining enables the reconstruction and evaluation of business processes based on
digital traces in IT systems. An increasingly important technique in this context is process …

Purpose The aim of this paper is to identify the main challenges and limitations of current
business process management (BPM) development directions noticed by researchers, as …

Predictive Process Monitoring [29] is a branch of process mining that aims at predicting the
future of an ongoing (uncompleted) process execution. Typical examples of predictions of …

Deep learning techniques have recently found applications in the field of predictive business
process monitoring. These techniques allow us to predict, among other things, what will be …

Predictive process monitoring has recently gained traction in academia and is maturing also
in companies. However, with the growing body of research, it might be daunting for data …

Abstract Machine learning (ML) provides algorithms to create computer programs based on
data without explicitly programming them. In business process management (BPM), ML …

Predictive monitoring of business processes is concerned with the prediction of ongoing
cases on a business process. Lately, the popularity of deep learning techniques has …

The contemporary process-aware information systems possess the capabilities to record the
activities generated during the process execution. To leverage these process specific fine …

Predictive business process monitoring aims at predicting the outcome of ongoing cases of
a business process based on past execution traces. A wide range of techniques for this …

Recent development of large language models (LLMs), such as ChatGPT has been widely
applied to a wide range of software engineering tasks. Many papers have reported their …