Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
In Java 2 and Microsoft .NET Common Language Runtime (CLR), trusted code has often been programmed to perform accessrestricted operations not explicitly requested by its untrusted ...
Marco Pistoia, Robert J. Flynn, Larry Koved, Vugra...
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
Legacy software systems often suffer from code quality problems. Maintenance of legacy systems can therefore be costly, and the value of legacy systems may diminish due to a lack ...
We present an extension of traditional "black box" fuzz testing using a genetic algorithm based upon a Dynamic Markov Model fitness heuristic. This heuristic allows us t...
Sherri Sparks, Shawn Embleton, Ryan Cunningham, Cl...