Artifact Centric Business Process Management Logging Schema

TL;DR

This paper explores extending provenance techniques to artifact-centric business process management to better understand and analyze the evolution and lifecycle of business artifacts in dynamic processes.

Contribution

It proposes a novel extension of provenance methods tailored for artifact-centric BPMs to address challenges in tracking artifact evolution and execution at runtime.

Findings

Enhanced understanding of artifact evolution in BPMs

Framework for real-time artifact lifecycle analysis

Improved process optimization capabilities

Abstract

Understanding the evolution of business artifacts will enable business analyst to discover more insight from process execution data. In this context, describing how the artifacts are wired, helps in understanding, predicting and optimizing the behavior of dynamic processes. In many cases, however, process artifacts evolve over time, as they pass through the business's operations. Consequently, understanding the evolution of artifacts becomes challenging and requires analyzing the provenance of business artifacts. In this paper our aim is to analyze and classify existing challenges in artifact centric business processes. We propose to extend Provenance techniques to artifact centric BPMs in order to perform cross cutting concerns on BPMs. Provenance is pre-requirement of addressing cross cutting concerns, which will provide information regarding artifact instance creation and its evolution during its life cycle. Due to dynamic nature of dynamic processes and declarative structure of Artifact Centric BPM systems, it's vital to make sure how an artifact instance actually executed and evolved during its processing in run time.