Biblio
Filters: Author is Landsborough, Jason [Clear All Filters]
Learning from Super-mutants: Searching Post-apocalyptic Software Ecosystems for Novel Semantics-preserving Transforms. Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1529–1536.
.
2017. In light of recent advances in genetic-algorithm-driven automated program modification, our team has been actively exploring the art, engineering, and discovery of novel semantics-preserving transforms. While modern compilers represent some of the best ideas we have for automated program modification, current approaches represent only a small subset of the types of transforms which can be achieved. In the wilderness of post-apocalyptic software ecosystems of genetically-modified and mutant programs, there exist a broad array of potentially useful software mutations, including semantics-preserving transforms that may play an important role in future software design, development, and most importantly, evolution.