Abstract
Business processes are usually spread over various levels of abstraction. This leads to the fact that often they cannot be represented adequately by using conventional process models. A Multilevel Business Artifact (MBA) combines both data and process models of different hierarchical levels in one object. The processes are defined as state charts using the W3C recommendation of State Chart XML (SCXML), which allows them to be executed semi-automatically by a process engine. This thesis describes the implementation of an XQuery module for analyzing multilevel business processes which have been modelled using MBAs, based on the logs produced during semi-automatic execution of the processes. Therefore, it reconstructs the lifecycles of MBAs using logs. On the one hand, the module calculates average cycle times of processes and states and on the other hand, it provides functions to identify weaknesses of processes.
Translated title of the contribution | Implementing selected Methods for the qualitative and quantitative Analysis of multilevel Business Processes with XQuery: Current-State- and What-If-Analysis of Cycle Time and Error-Cause-Analysis |
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Original language | German (Austria) |
Supervisors/Reviewers |
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Publication status | Published - Nov 2016 |
Fields of science
- 102 Computer Sciences
- 102010 Database systems
- 102015 Information systems
- 102016 IT security
- 102025 Distributed systems
- 102027 Web engineering
- 102028 Knowledge engineering
- 102030 Semantic technologies
- 102033 Data mining
- 502050 Business informatics
- 503008 E-learning
JKU Focus areas
- Computation in Informatics and Mathematics
- Management and Innovation