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EPS
1995
Springer
13 years 7 months ago
An Evolutionary Programming Approach to Self-Adaptation on Finite State Machines
Evolutionary programming was first offered as an alternative method for generating artificial intelligence. Experiments were offered in which finite state machines were used to...
Lawrence J. Fogel, Peter J. Angeline, David B. Fog...
IPPS
2009
IEEE
13 years 11 months ago
A fusion-based approach for tolerating faults in finite state machines
Given a set of n different deterministic finite state machines (DFSMs) modeling a distributed system, we examine the problem of tolerating f crash or Byzantine faults in such a ...
Vinit A. Ogale, Bharath Balasubramanian, Vijay K. ...
ASWEC
2005
IEEE
13 years 10 months ago
A UML Approach to the Generation of Test Sequences for Java-Based Concurrent Systems
Starting with a UML specification that captures the underlying functionality of some given Java-based concurrent system, we describe a systematic way to construct, from this speci...
Soon-Kyeong Kim, Luke Wildman, Roger Duke
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
13 years 5 months ago
Avida-MDE: a digital evolution approach to generating models of adaptive software behavior
Increasingly, high-assurance applications rely on autonomic systems to respond to changes in their environment. The inherent uncertainty present in the environment of autonomic sy...
Heather Goldsby, Betty H. C. Cheng
ICDCS
2007
IEEE
13 years 10 months ago
Testing Security Properties of Protocol Implementations - a Machine Learning Based Approach
Security and reliability of network protocol implementations are essential for communication services. Most of the approaches for verifying security and reliability, such as forma...
Guoqiang Shu, David Lee