- author = "Tom Wallis and Tim Storer",
- title = "Process Fuzzing as an Approach to Genetic Programming",
- booktitle = "Proceedings of the SICSA Workshop on Reasoning, Learning and Explainability",
- year = "2018",
- editor = "Kyle Martin and Nirmalie Wiratunga and Leslie S. Smith",
- volume = "2151",
- series = "CEUR Workshop Proceedings",
- address = "Aberdeen, UK",
- month = jun # " 27",
- publisher = "CEUR-WS.org",
- keywords = "genetic algorithms, genetic programming, SBSE, Py-DySoFu, aspect orientation framework",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/sicsa/realx2018.html#WallisS18",
-
URL = "
http://nbn-resolving.de/urn:nbn:de:0074-2151-7",
-
URL = "
http://ceur-ws.org/Vol-2151/Paper_S3.pdf",
-
code_url = "https://github.com/twsswt/pydysofu",
- size = "5 pages",
- abstract = "Genetic Programming (GP) has recently seen a growing application in the area of writing and improving computer programs. Generally, for experiments in this area, bespoke tools are constructed to perform research. In this paper, it is demonstrated that GP behaviour can be achieved via process fuzzing, and an implementation of the adaptation of ASTs for GP behaviour in the process fuzzing tool PyDySoFu is described.",
-
notes = "SICSA ReaLX http://ceur-ws.org/Vol-2151/
Python Dynamic Source Fuzzer https://github.com/twsswt/pydysofu
Also known as \cite{conf/sicsa/WallisS18}
School of Computing Science, University of Glasgow",
