TY - GEN
T1 - Impact-Aware Conformance Checking
AU - Tsoury, Arava
AU - Soffer, Pnina
AU - Reinhartz-Berger, Iris
N1 - Funding Information: Acknowledgment. This research is supported by the Israel Science Foundation under grant agreements 856/13 and 669/17. Publisher Copyright: © 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Alignment-based conformance checking techniques detect and quantify deviations of process execution from expected behavior as depicted in process models. However, often when deviations occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This paper proposes a conformance checking approach which considers the response to unexpected deviations during process execution, by analyzing the data updates involved and their impact on the expected behavior. We evaluated our approach in an experimental study, whose results show that our approach better captures adapted behavior in response to deviations, as compared to standard fitness measurement.
AB - Alignment-based conformance checking techniques detect and quantify deviations of process execution from expected behavior as depicted in process models. However, often when deviations occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This paper proposes a conformance checking approach which considers the response to unexpected deviations during process execution, by analyzing the data updates involved and their impact on the expected behavior. We evaluated our approach in an experimental study, whose results show that our approach better captures adapted behavior in response to deviations, as compared to standard fitness measurement.
KW - Alignment
KW - Business processes
KW - Conformance checking
KW - Data impact analysis
UR - http://www.scopus.com/inward/record.url?scp=85078520522&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-37453-2_13
DO - 10.1007/978-3-030-37453-2_13
M3 - Conference contribution
SN - 9783030374525
T3 - Lecture Notes in Business Information Processing
SP - 147
EP - 159
BT - Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers
A2 - Di Francescomarino, Chiara
A2 - Dijkman, Remco
A2 - Zdun, Uwe
PB - Springer
T2 - International Workshops on AI4BPM, BP-Meet-IoT, BPI, BPMinDIT, BPMS2, DEC2H, MIEL, PM-DiPro, PODS4H, PQ, SPBP, VEnMo 2019 held at the 17th International Conference on Business Process Management, BPM 2019
Y2 - 1 September 2019 through 6 September 2019
ER -