- author = "Aymeric Blot and Justyna Petke",
- title = "Stack-Based Genetic Improvement",
- booktitle = "GI @ ICSE 2020",
- year = "2020",
- month = "3 " # jul,
- editor = "Shin Yoo and Justyna Petke and Westley Weimer and Bobby R. Bruce",
- publisher = "ACM",
- address = "internet",
- pages = "289--290",
- keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE, GI, Automated Program Repair, APR, Search-based software engineering",
- isbn13 = "978-1-4503-7963-2",
-
URL = "
http://www.cs.ucl.ac.uk/staff/a.blot/files/blot_gi-icse_2020-1.pdf",
-
video_url = "
https://youtu.be/GsNKCifm44A",
-
DOI = "
doi:10.1145/3387940.3392174",
- size = "2 pages",
- abstract = "Genetic improvement (GI) uses automated search to find improved versions of existing software. If originally GI directly evolved populations of software, most GI work nowadays use a solution representation based on a list of mutations. This representation however has some limitations, notably in how genetic material can be re-combined. We introduce a novel stack-based representation and discuss its possible benefits",
-
notes = "Push, different stacks for each data and each? code
type.
RIP Larry Tesler 1945 to 2020: inventor of cut/copy & paste (and more) EP/P023991/1
Video: https://youtu.be/GsNKCifm44A (start 1:30:29 end 1:45:45)
Slides: http://geneticimprovementofsoftware.com/slides/gi2020icse/synthetic_benchmarks_slides.pdf
http://geneticimprovementofsoftware.com/gi2020icse.html",
