Analysis of Process Quality Factors
by
Asli Zengin
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last modified
Apr 26, 2012 15:53
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filed under:
KnowledgeModel
Definitions
| Term: Analysis of Process Quality Factors |
Domain: Cross-cutting issues | ||||
|---|---|---|---|---|---|
| Engineering and Design (KM-ED) |
Adaptation and Monitoring (KM-AM) |
Quality Definition, Negotiation and
Assurance (KM-QA) |
Generic (domain independent) |
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| D o m a i n : L a y e r s |
Business Process Management (KM-BPM) |
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| Service Composition and
Coordination (KM-SC) |
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| Service Infrastructure (KM-SI) |
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| Generic (domain independent) |
Analysis of process quality factors is the analysis approach that aims at identifying the dependencies and the influence of different process quality factors on the business process KPIs by studying the histories of the business process executions. The analysis is based on data mining and dependency tree analysis techniques. The monitoring of KPIs and potential influential quality metrics is performed across the instances of the application; the information is continuously aggregated and updated. Then the quality metrics related to previous executions of a given application are analyzed in order to identify the causes, i.e., the influential factors, which lead to the undesired values of the specified KPIs. More precisely, machine learning techniques are used to construct a decision tree which shows for which value ranges of influential application metrics a KPI is satisfied or violated. [Wetzstein et al, 2009] | ||||
Competencies
- USTUTT: Business Process Management; http://www.iaas.uni-stuttgart.de/indexE.php; Branimir Wetzstein, Frank Leymann
- TUW: BPM; http://www.infosys.tuwien.ac.at/; Schahram Dustdar, Florian Rosenberg, Philipp Leitner, Ivona Brandic
References
- [Wetzstein et al, 2009] B. Wetzstein, P. Leitner, F. Rosenberg, I. Brandic, S. Dustdar, and F. Leymann. Monitoring and analyzing influential factors of business process performance. In Proc. of EDOC, 2009, pp 141 - 150.
