TY - GEN
T1 - Listen to me
T2 - International Conference on Business Process Management (12th : 2014)
AU - Klinkmüller, Christopher
AU - Leopold, Henrik
AU - Weber, Ingo
AU - Mendling, Jan
AU - Ludwig, André
PY - 2014
Y1 - 2014
N2 - Many use cases in business process management rely on the identification of correspondences between process models. However, the sparse information in process models makes matching a fundamentally hard problem. Consequently, existing approaches yield a matching quality which is too low to be useful in practice. Therefore, we investigate incorporating user feedback to improve matching quality. To this end, we examine which information is suitable for feedback analysis. On this basis, we design an approach that performs matching in an iterative, mixed-initiative approach: we determine correspondences between two models automatically, let the user correct them, and analyze this input to adapt the matching algorithm. Then, we continue with matching the next two models, and so forth. This approach improves the matching quality, as showcased by a comparative evaluation. From this study, we also derive strategies on how to maximize the quality while limiting the additional effort required from the user.
AB - Many use cases in business process management rely on the identification of correspondences between process models. However, the sparse information in process models makes matching a fundamentally hard problem. Consequently, existing approaches yield a matching quality which is too low to be useful in practice. Therefore, we investigate incorporating user feedback to improve matching quality. To this end, we examine which information is suitable for feedback analysis. On this basis, we design an approach that performs matching in an iterative, mixed-initiative approach: we determine correspondences between two models automatically, let the user correct them, and analyze this input to adapt the matching algorithm. Then, we continue with matching the next two models, and so forth. This approach improves the matching quality, as showcased by a comparative evaluation. From this study, we also derive strategies on how to maximize the quality while limiting the additional effort required from the user.
KW - BPM
KW - process similarity
KW - process model matching
UR - http://www.scopus.com/inward/record.url?scp=84906728522&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-10172-9_6
DO - 10.1007/978-3-319-10172-9_6
M3 - Conference proceeding contribution
AN - SCOPUS:84906728522
SN - 9783319101712
T3 - Lecture Notes in Computer Science
SP - 84
EP - 100
BT - Business Process Management
A2 - Sadiq, Shazia
A2 - Soffer, Pnina
A2 - Völzer, Hagen
PB - Springer, Springer Nature
CY - Cham
Y2 - 7 September 2014 through 11 September 2014
ER -