TY - JOUR
T1 - Providing integrated life cycle support in process-aware information systems
AU - Weber, Barbara
AU - Reichert, Manfred
AU - Rinderle-Ma, Stefanie
AU - Wild, Werner
N1 - Funding Information:
Parts of this work was funded by the Tiroler Wissenschaftsfond. We would like to thank Stefan Zugal and Jakob Pinggera for the implementation of the CCBR-Tool component and Ulrich Kreher, Markus Lauer and Elisabeth Marini for their help in integrating CCBR-Tool and ADEPT2. In addition, we would like to express our appreciation to Peter Dadam for his feedback and the many valuable discussions on this topic.
PY - 2009/3
Y1 - 2009/3
N2 - The need for more flexibility of process-aware information systems (PAISs) has been discussed for several years and different approaches for adaptive process management have emerged. However, only few of them provide support for both changes of individual process instances and the propagation of process type changes to a collection of related process instances. Furthermore, knowledge about process changes has not yet been exploited by any of these systems. This paper presents the ProCycle approach which overcomes this practical limitation by capturing the whole process life cycle and all kinds of changes in an integrated way. Users are not only allowed to deviate from the predefined process in exceptional situations, but are also assisted in retrieving and reusing knowledge about previously performed changes in this context. If similar instance deviations occur frequently, process engineers will be supported in deriving improved process models from them. This, in turn, allows engineers to evolve the PAIS (including the knowledge about the changes) over time. Feasability of the ProCycle approach is demonstrated by a proof-of-concept prototype which combines adaptive process management technology with concepts and methods provided by case-based reasoning (CBR) technology.
AB - The need for more flexibility of process-aware information systems (PAISs) has been discussed for several years and different approaches for adaptive process management have emerged. However, only few of them provide support for both changes of individual process instances and the propagation of process type changes to a collection of related process instances. Furthermore, knowledge about process changes has not yet been exploited by any of these systems. This paper presents the ProCycle approach which overcomes this practical limitation by capturing the whole process life cycle and all kinds of changes in an integrated way. Users are not only allowed to deviate from the predefined process in exceptional situations, but are also assisted in retrieving and reusing knowledge about previously performed changes in this context. If similar instance deviations occur frequently, process engineers will be supported in deriving improved process models from them. This, in turn, allows engineers to evolve the PAIS (including the knowledge about the changes) over time. Feasability of the ProCycle approach is demonstrated by a proof-of-concept prototype which combines adaptive process management technology with concepts and methods provided by case-based reasoning (CBR) technology.
KW - Adaptive process
KW - Exception handling
KW - Learning and evolving systems
KW - Process flexibility
KW - Process-aware information system
UR - http://www.scopus.com/inward/record.url?scp=67349148780&partnerID=8YFLogxK
U2 - 10.1142/S0218843009001999
DO - 10.1142/S0218843009001999
M3 - Article
AN - SCOPUS:67349148780
SN - 0218-8430
VL - 18
SP - 115
EP - 165
JO - International Journal of Cooperative Information Systems
JF - International Journal of Cooperative Information Systems
IS - 1
ER -