Error recovery in asynchronous systems
IEEE Transactions on Software Engineering
BYTE
BYTE
Fundamentals of operating systems (5th ed.)
Fundamentals of operating systems (5th ed.)
Learning automata: theory and applications
Learning automata: theory and applications
The feature interaction problem in networked multimedia services — present and future
BT Technology Journal
Handbook of Neural Computing Applications
Handbook of Neural Computing Applications
Evolving legacy system features into fine-grained components
Proceedings of the 24th International Conference on Software Engineering
Proceedings of the 5th and 6th International SPIN Workshops on Theoretical and Practical Aspects of SPIN Model Checking
Theory and practice of enhancing a legacy software system
Systems engineering for business process change
On detecting feature interactions in the programmable service environment of internet telephony
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Directions in feature interaction research
Exploring feature interactions in the wild: the new feature-interaction challenge
Proceedings of the 5th International Workshop on Feature-Oriented Software Development
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The Intelligent Network (IN) allows rapid changes in the services provisioned and their functionality. Services may be supplied by different service providers, making it unlikely that all service specifications will be available for examination by any single agency. Approaches to handle feature interaction problems must be able to operate within these constraints. Work by the authors has produced a generic run-time feature interaction manager (FIM) concept to manage feature interactions in a live network. It monitors features as black-boxes, learns their "correct" behavior and uses this to determine when feature interactions have occurred. This paper describes and compares experiences using three different techniques to realize the proposed approach. These are: states sequence monitoring, artificial neural networks (ANN), and rule-based monitoring which also includes integrated generic resolution approaches. The paper explores the design alternatives with the various techniques, and reports on the results obtained from experimentation.