TY - GEN
T1 - Toward behavioral business process analysis
AU - Damiani, Ernesto
AU - Gianini, Gabriele
AU - Leida, Marcello
N1 - Funding Information:
The work was partly supported by EC within the PRACTICE project (contract n. FP7-609611), by the Italian MIUR project SecurityHorizons (c.n. 2010XSEMLC) and by the CMIRA2014/AcceuilPro (Subv.14.004390) and COOPERA program of the Region Rhone-Alpes, France and by the project Vinci of the UFI (Universit Franco-Italienne).
Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/10
Y1 - 2015/9/10
N2 - This work adresses the problem estimating correlations between process observables and KPI/SLA violation metrics. This analysis is aimed at providing business process owners with a suggestion of potential causality between groups of process parameters and violations. Obviously, static regression analysis cannot establish causality. We introduce a notion of Behavioral Analysis of business process instances and argue that, under suitable assumptions, Granger correlation can be used to highlight potential causality between business process observables and violations of leading KPIs. To handle the combinatorial explosion of the process observables search space, we describe a game theoretical approach for identifying (sets of) time-shifted process attributes to be tested.
AB - This work adresses the problem estimating correlations between process observables and KPI/SLA violation metrics. This analysis is aimed at providing business process owners with a suggestion of potential causality between groups of process parameters and violations. Obviously, static regression analysis cannot establish causality. We introduce a notion of Behavioral Analysis of business process instances and argue that, under suitable assumptions, Granger correlation can be used to highlight potential causality between business process observables and violations of leading KPIs. To handle the combinatorial explosion of the process observables search space, we describe a game theoretical approach for identifying (sets of) time-shifted process attributes to be tested.
UR - https://www.scopus.com/pages/publications/84963613032
U2 - 10.1109/CEC.2015.7257175
DO - 10.1109/CEC.2015.7257175
M3 - Conference contribution
AN - SCOPUS:84963613032
T3 - 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
SP - 2347
EP - 2353
BT - 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Congress on Evolutionary Computation, CEC 2015
Y2 - 25 May 2015 through 28 May 2015
ER -