Created by W.Langdon from gp-bibliography.bib Revision:1.5619
These properties of mutational robustness and the corresponding neutral networks have been studied extensively in biology and are believed to be related to the capacity for unsupervised evolution and adaptation. As in biological systems, mutational robustness and neutral networks in software systems enable automated evolution.
The dissertation presents several applications that leverage software neutral networks to automate common software development and maintenance tasks. Neutral networks are explored to generate diverse implementations of software for improving runtime security and for proactively repairing latent bugs. Next, a technique is introduced for automatically repairing bugs in the assembler and executables compiled from off-the-shelf software. As demonstration, a proprietary executable is manipulated to patch security vulnerabilities without access to source code or any aid from the software vendor. Finally, software neutral networks are leveraged to optimize complex nonfunctional runtime properties. This optimisation technique is used to reduce the energy consumption of the popular PARSEC benchmark applications by 20percent as compared to the best available public domain compiler optimisations.
The applications presented herein apply evolutionary computation techniques to existing software using common software engineering tools. By enabling evolutionary techniques within the existing software development tool chain, this work is more likely to be of practical benefit to the developers and maintainers of real-world software systems.",
Genetic Programming entries for Eric Schulte