TY - JOUR
T1 - Guided interaction exploration and performance analysis in artifact-centric process models
AU - van Eck, Maikel L.
AU - Sidorova, Natalia
AU - van der Aalst, Wil M.P.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Artifact-centric process models aim to describe complex processes as a collection of interacting artifacts. Recent development in process mining allow for the discovery of such models. However, the focus is often on the representation of the individual artifacts rather than their interactions. Based on event data, composite state machines representing artifact-centric processes can be discovered automatically. Moreover, the study provides ways of visualising and quantifying interactions among different artifacts. For example, strongly correlated behaviours in different artifacts can be highlighted. Interesting correlations can be subsequently analysed to identify potential causes of process performance issues. The study provides a strategy to explore the interactions and performance differences in this context. The approach has been fully implemented as a ProM plug-in; the CSM Miner provides an interactive artifact-centric process discovery tool focussing on interactions. The approach has been evaluated using real life data, to show that the guided exploration of artifact interactions can successfully identify process performance issues.
AB - Artifact-centric process models aim to describe complex processes as a collection of interacting artifacts. Recent development in process mining allow for the discovery of such models. However, the focus is often on the representation of the individual artifacts rather than their interactions. Based on event data, composite state machines representing artifact-centric processes can be discovered automatically. Moreover, the study provides ways of visualising and quantifying interactions among different artifacts. For example, strongly correlated behaviours in different artifacts can be highlighted. Interesting correlations can be subsequently analysed to identify potential causes of process performance issues. The study provides a strategy to explore the interactions and performance differences in this context. The approach has been fully implemented as a ProM plug-in; the CSM Miner provides an interactive artifact-centric process discovery tool focussing on interactions. The approach has been evaluated using real life data, to show that the guided exploration of artifact interactions can successfully identify process performance issues.
KW - Artifact-centric processes
KW - Interactive process exploration
KW - Performance analysis
KW - Process discovery
UR - http://www.scopus.com/inward/record.url?scp=85075148823&partnerID=8YFLogxK
U2 - 10.1007/s12599-018-0546-0
DO - 10.1007/s12599-018-0546-0
M3 - Article
AN - SCOPUS:85075148823
VL - 61
SP - 649
EP - 663
JO - Business & Information Systems Engineering
JF - Business & Information Systems Engineering
SN - 2363-7005
IS - 6
ER -