HTN planning: complexity and expressivity
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Formal refinement patterns for goal-driven requirements elaboration
SIGSOFT '96 Proceedings of the 4th ACM SIGSOFT symposium on Foundations of software engineering
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
A Goal-based Approach to Policy Refinement
POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
Using Linear Temporal Model Checking for Goal-Oriented Policy Refinement Frameworks
POLICY '05 Proceedings of the Sixth IEEE International Workshop on Policies for Distributed Systems and Networks
Policy-based Management: A Historical Perspective
Journal of Network and Systems Management
A Runtime Constraint-Aware Solution for Automated Refinement of IT Change Plans
DSOM '08 Proceedings of the 19th IFIP/IEEE international workshop on Distributed Systems: Operations and Management: Managing Large-Scale Service Deployment
Total-order planning with partially ordered subtasks
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
A performance and usability comparison of automated planners for IT change planning
Proceedings of the 7th International Conference on Network and Services Management
Planning in the large: efficient generation of IT change plans on large infrastructures
Proceedings of the 8th International Conference on Network and Service Management
| Hi-index | 0.00 |
We propose a novel hybrid planning approach for the automated generation of IT change plans. The algorithm addresses an abstraction mismatch between refinement of tasks and reasoning about the lifecycle and state-constraints of domain objects. To the best of our knowledge, it is the first approach to address this abstraction mismatch for IT Change Management and to be based on Artificial Intelligence planning techniques. This has several advantages over previously existing research including increased readability, expressiveness, and maintainability of the descriptions. We developed the foundations of the approach and successfully validated it by applying it to change request planning for TikiWiki , a Content Management System.