Model-based adaptation for self-healing systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
Correctness criteria for dynamic changes in workflow systems: a survey
Data & Knowledge Engineering - Special issue: Advances in business process management
Towards a knowledge-based approach to architectural adaptation management
WOSS '04 Proceedings of the 1st ACM SIGSOFT workshop on Self-managed systems
Architecture-based self-adaptation in the presence of multiple objectives
Proceedings of the 2006 international workshop on Self-adaptation and self-managing systems
Advanced Topics In Workflow Management: Issues, Requirements, And Solutions
Journal of Integrated Design & Process Science
Data & Knowledge Engineering
Design of Goal-Scenario Based Diagnosis Agent for Business Activity Monitoring
ICISA '11 Proceedings of the 2011 International Conference on Information Science and Applications
Context and profile based cascade classifier for efficient people detection and safety care system
Multimedia Tools and Applications
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The self-adaptation of software systems is a complex process that depends on several factors that can change during the system operational lifetime. But, Today's workflow management systems are only applicable in a secure and safe manner if the business process to be supported is well-structured and there is no need for ad hoc deviations at runtime. Hence, it is necessary to define mechanisms for providing a self-adaptive system the capability of reconfiguration during run-time the process that controls its adaptation. In this paper, we provide rapid dynamic reconfiguration using the workflow based on goal-scenario as the basis to set up strategies in accordance with the adaptive judgment. Also, we provide a sophisticated approach which fosters learning from past process changes by process variants through the order matrix. We present a formal foundation for the support of dynamic structural workflow changes of running. Our approach uses estimates based goal-scenario to determine which remaining parts of running workflows are affected by the external environment and is able to predictively perform suitable adaptation. This helps to ensure that necessary adaptation are performed in time with minimal user interaction which is especially valuable in change of external environment.