Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Knowledge discovery in databases: an overview
AI Magazine
Fast discovery of association rules
Advances in knowledge discovery and data mining
Validation with guided search of the state space
DAC '98 Proceedings of the 35th annual Design Automation Conference
Sequential Circuit Test Generation Using Dynamic State Traversal
EDTC '97 Proceedings of the 1997 European conference on Design and Test
Distance-guided hybrid verification with GUIDO
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Guiding simulation with increasingly refined abstract traces
Proceedings of the 43rd annual Design Automation Conference
An effective guidance strategy for abstraction-guided simulation
Proceedings of the 44th annual Design Automation Conference
Algorithms for approximate FSM traversal based on state space decomposition
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Constraints in one-to-many concretization for abstraction refinement
Proceedings of the 46th Annual Design Automation Conference
An abstraction-guided simulation approach using Markov models for microprocessor verification
Proceedings of the Conference on Design, Automation and Test in Europe
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We introduce a new semi-formal design validation framework to justify hard-to-reach corner-case states. We propose a cultural learning technique to identify the swarming of domain knowledge during the search. In addition, our guidance strategy abstracts sets of partitioned state variables, from which pre-images are computed to capture the expanded portions of the state spaces related to a target state. Experimental results show that our approach is very effective to reach hard-to-reach states than existing methods.