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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 6 months ago
Superstate identification for state machines using search-based clustering
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
Mathew Hall, Phil McMinn, Neil Walkinshaw
PE
2000
Springer
118views Optimization» more  PE 2000»
15 years 6 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...
VL
2005
IEEE
16 years 3 days ago
Transformation of UML State Machines for Direct Execution
Executable UML models are nowadays gaining interest in embedded systems design. This domain is strongly devoted to the modeling of reactive behavior using StateChart variants. In ...
Tim Schattkowsky, Wolfgang Müller 0003
ISSRE
2002
IEEE
15 years 11 months ago
The Impact of Recovery Mechanisms on the Likelihood of Saving Corrupted State
Recovery systems must save state before a failure occurs to enable the system to recover from the failure. However, recovery will fail if the recovery system saves any state corru...
Subhachandra Chandra, Peter M. Chen
ATAL
2008
Springer
15 years 8 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh