Towards trustworthy adaptive case management with dynamic condition response graphs

TY - GEN

T1 - Towards trustworthy adaptive case management with dynamic condition response graphs

AU - Mukkamala, Raghava Rao

AU - Hildebrandt, Thomas

AU - Slaats, Tijs

N1 - Conference code: 17

PY - 2013

Y1 - 2013

N2 - We describe how the declarative Dynamic Condition Response (DCR) Graphs process model can be used for trustworthy adaptive case management by leveraging the flexible execution, dynamic composition and adaptation supported by DCR Graphs. The dynamically composed and adapted graphs are verified for deadlock freedom and liveness in the SPIN model checker by utilizing a mapping from DCR Graphs to PROMELA code. We exemplify the approach by a small workflow extracted from a field study at a danish hospital.

AB - We describe how the declarative Dynamic Condition Response (DCR) Graphs process model can be used for trustworthy adaptive case management by leveraging the flexible execution, dynamic composition and adaptation supported by DCR Graphs. The dynamically composed and adapted graphs are verified for deadlock freedom and liveness in the SPIN model checker by utilizing a mapping from DCR Graphs to PROMELA code. We exemplify the approach by a small workflow extracted from a field study at a danish hospital.

U2 - 10.1109/EDOC.2013.22

DO - 10.1109/EDOC.2013.22

M3 - Article in proceedings

SP - 127

EP - 136

BT - 2013 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC)

PB - IEEE

T2 - 17th IEEE International Enterprise Distributed Object Computing Conference

Y2 - 9 September 2013 through 13 September 2013

ER -