Publications in Scientific Journals:

B. Wetzstein, Ph. Leitner, F. Rosenberg, S. Dustdar, F. Leymann:
"Identifying influential factors of business process performance using dependency analysis";
Enterprise Information Systems (invited), Volume 5 (2011), No. 1; 79 - 98.

English abstract:
We present a comprehensive framework for identifying influential factors of
business process performance. In particular, our approach combines monitoring
of process events and Quality of Service (QoS) measurements with dependency
analysis to effectively identify influential factors. The framework uses data mining
techniques to construct tree structures to represent dependencies of a key
performance indicator (KPI) on process and QoS metrics. These dependency trees
allow business analysts to determine how process KPIs depend on lower-level
process metrics and QoS characteristics of the IT infrastructure. The structure of
the dependencies enables a drill-down analysis of single factors of influence to
gain a deeper knowledge why certain KPI targets are not met.

process performance monitoring; service composition; KPI; QoS; data mining; decision tree

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Related Projects:
Project Head Schahram Dustdar:

Created from the Publication Database of the Vienna University of Technology.