TY - GEN
T1 - Extracting configuration guidance models from business process repositories
AU - Assy, Nour
AU - Gaaloul, Walid
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Configurable process models are gaining a great importance for the design and development of reusable business processes. As these processes tend to be very complex, their configuration becomes a difficult task. Therefore, many approaches propose to build decision support systems to assist users selecting desirable configuration choices. Nevertheless, these systems are to a large extent manually created by domain experts, which is a time-consuming and tedious task. In addition, relying solely on the expert knowledge is not only error-prone, but also challengeable. In this paper, we propose to learn from past experience in process configuration in order to automatically extract a configuration guidance model. Instead of starting from scratch, a configuration guidance model assists analysts creating business-driven support systems.
AB - Configurable process models are gaining a great importance for the design and development of reusable business processes. As these processes tend to be very complex, their configuration becomes a difficult task. Therefore, many approaches propose to build decision support systems to assist users selecting desirable configuration choices. Nevertheless, these systems are to a large extent manually created by domain experts, which is a time-consuming and tedious task. In addition, relying solely on the expert knowledge is not only error-prone, but also challengeable. In this paper, we propose to learn from past experience in process configuration in order to automatically extract a configuration guidance model. Instead of starting from scratch, a configuration guidance model assists analysts creating business-driven support systems.
UR - https://www.scopus.com/pages/publications/84944691141
U2 - 10.1007/978-3-319-23063-4_14
DO - 10.1007/978-3-319-23063-4_14
M3 - Conference contribution
AN - SCOPUS:84944691141
SN - 9783319230627
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 198
EP - 206
BT - Business Process Management - 13th International Conference, BPM 2015, Proceedings
A2 - Recker, Jan
A2 - Weidlich, Matthias
A2 - Motahari-Nezhad, Hamid Reza
PB - Springer Verlag
T2 - 13th International Conference on Business Process Management, BPM 2015
Y2 - 31 August 2015 through 3 September 2015
ER -