- author = "Justyna Petke",
- title = "Genetic Improvement for Code Obfuscation",
- booktitle = "Genetic Improvement 2016 Workshop",
- year = "2016",
- editor = "Justyna Petke and David R. White and Westley Weimer",
- pages = "1135--1136",
- address = "Denver",
- publisher_address = "New York, NY, USA",
- month = jul # " 20-24",
- organisation = "SIGEvo",
- publisher = "ACM",
- keywords = "genetic algorithms, genetic programming, Genetic Improvement, SBSE, Code Obfuscation; Software Optimisation",
-
URL = "
http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/Genetic_Improvement_for_Code_Obfuscation.pdf",
-
DOI = "
doi:10.1145/2908961.2931689",
- size = "2 pages",
- abstract = "Genetic improvement (GI) is a relatively new area of software engineering and thus the extent of its applicability is yet to be explored. Although a growing interest in GI in recent years started with the work on automatic bug fixing, the area flourished when results on optimisation of non- functional software properties, such as efficiency and energy consumption, were published. Further success of GI in trans-planting functionality from one program to another leads to a question: what other software engineering areas can benefit from the use of genetic improvement techniques? We propose to use GI for code obfuscation",
-
notes = "'test cases as a proxy for correct program behaviour'
'not..semantics preserving'. cites
\cite{LaRoche:2010:EvoCOMNET}, \cite{RR-10-02}
http://www.cs.ox.ac.uk/publications/publication3531-abstract.html
GECCO-2016 Workshop http://geneticimprovementofsoftware.com/",
