TY  - JOUR
A1  - Herzberg, Nico
A1  - Meyer, Andreas
A1  - Weske, Mathias
T1  - Improving business process intelligence by observing object state transitions
T2  - Data & knowledge engineering
N2  - During the execution of business processes several events happen that are recorded in the company's information systems. These events deliver insights into process executions so that process monitoring and analysis can be performed resulting, for instance, in prediction of upcoming process steps or the analysis of the run time of single steps. While event capturing is trivial when a process engine with integrated logging capabilities is used, manual process execution environments do not provide automatic logging of events, so that typically external devices, like bar code scanners, have to be used. As experience shows, these manual steps are error-prone and induce additional work. Therefore, we use object state transitions as additional monitoring information, so-called object state transition events. Based on these object state transition events, we reason about the enablement and termination of activities and provide the basis for process monitoring and analysis in terms of a large event log. In this paper, we present the concept to utilize information from these object state transition events for capturing process progress. Furthermore, we discuss a methodology to create the required design time artifacts that then are used for monitoring at run time. In a proof-of-concept implementation, we show how the design time and run time side work and prove applicability of the introduced concept of object state transition events. (C) 2015 Elsevier B.V. All rights reserved.
KW  - Business process management
KW  - Events
KW  - Data
KW  - Process Monitoring
KW  - BPMN
Y1  - 2015
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/38770
SN  - 0169-023X
SN  - 1872-6933
VL  - 98
SP  - 144
EP  - 164
PB  - Elsevier
CY  - Amsterdam
ER  -