Title :
A Framework Towards Model Driven Business Process Compliance and Monitoring
Author :
Kala Kotamarthi;Xianzhi Wang;Georg Grossmann;Quan Z. Sheng;Sarath Indrakanti
Author_Institution :
Univ. of Adelaide, Adelaide, SA, Australia
Abstract :
Currently available business process monitoring solutions usually rely on applications´ business logic, which hampers the separation between the business logic and the business rules. Existing solutions address the issue from only the modeling perspective at design-time. However, modern business process systems are required to be adaptive to the constant changes of the business rules at runtime. In this paper, we propose a comprehensive Model-Driven Business Process Compliance and Monitoring (MDBPCM) framework that allows for (1) Modeling and monitoring of functional and non-functional requirements of business process, (2) Compliance validation at both design and runtime, (3) Dynamic adaption of business rules, and (4) Separation of business rules and business logic. Our framework has been successfully implemented to support the design, execution and monitoring of BPEL processes.
Keywords :
"Monitoring","Runtime","Adaptation models","Organizations","Logic gates","Australia"
Conference_Titel :
Enterprise Distributed Object Computing Workshop (EDOCW), 2015 IEEE 19th International
DOI :
10.1109/EDOCW.2015.27