SEMar 11, 2013

Artifact Lifecycle Discovery

arXiv:1303.2554v181 citationsHas Code
Originality Synthesis-oriented
AI Analysis

This addresses the limitation of most process mining methods for artifact-centric modeling, which is incremental as it adapts existing techniques rather than introducing a new paradigm.

The paper tackles the problem of applying process mining to artifact-centric business process modeling by proposing a chain of methods to discover artifact lifecycle models in Guard-Stage-Milestone notation, enabling reuse of existing non-artifact-centric methods and implementing them as ProM plug-ins.

Artifact-centric modeling is a promising approach for modeling business processes based on the so-called business artifacts - key entities driving the company's operations and whose lifecycles define the overall business process. While artifact-centric modeling shows significant advantages, the overwhelming majority of existing process mining methods cannot be applied (directly) as they are tailored to discover monolithic process models. This paper addresses the problem by proposing a chain of methods that can be applied to discover artifact lifecycle models in Guard-Stage-Milestone notation. We decompose the problem in such a way that a wide range of existing (non-artifact-centric) process discovery and analysis methods can be reused in a flexible manner. The methods presented in this paper are implemented as software plug-ins for ProM, a generic open-source framework and architecture for implementing process mining tools.

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