- author = "Giovanni Squillero and Alberto Tonda and Dimitri Masetta and Marco Sacchet",
- title = "Byron: A Fuzzer for Turing-complete Test Programs",
- booktitle = "2nd GECCO workshop on Graph-based Genetic Programming",
- year = "2024",
- editor = "Dennis G. Wilson and Roman Kalkreuth and Eric Medvet and Giorgia Nadizar and Giovanni Squillero and Alberto Tonda and Yuri Lavinas",
- pages = "1691--1694",
- address = "Melbourne, Australia",
- series = "GECCO '24",
- month = "14 " # jul,
- organisation = "SIGEVO",
- publisher = "Association for Computing Machinery",
- publisher_address = "New York, NY, USA",
- keywords = "genetic algorithms, genetic programming, graph-based GP, turing-complete GP, fuzzing, test-program, assembly, real-world application",
- isbn13 = "979-8-4007-0495-6",
-
DOI = "
doi:10.1145/3638530.3664136",
- size = "4 pages",
- abstract = "This paper describes Byron, an evolutionary fuzzer of assembly-language programs for the test and verification of programmable devices. Candidate solutions are internally encoded as typed, directed multigraphs, that is, graphs where multiple edges can connect the same pair of vertexes, with an added layer that defines the type of information vertexes can hold, and constraints the possible kinds of edges. Multiple genetic operators and a self-adaptation mechanism make the tool ready to tackle industrial problems.",
-
notes = "wksp146s2 also known as
\cite{squillero:2024:GECCOcomp}
GECCO-2024 GGP A Recombination of the 33rd International Conference on Genetic Algorithms (ICGA) and the 29th Annual Genetic Programming Conference (GP)",
