Created by W.Langdon from gp-bibliography.bib Revision:1.8010
explores the use of genetic programming to generate objected-oriented source code in a dynamically-typed setting. We found that GP is able to produce missing one-line statements with a precision of 51 percent. Our preliminary results contributes to the state of the art by indicating that GP maybe effectively employed to generate source code for dynamically-typed object-oriented applications.",
video oOxhBdc8FT4 Alexandre Bergel
16:32 Discussion Chair Justyna Petke A: Alexandre Bergel + Vicente Illanes
16:35 Q: Westley Weimer
17:30 Justyna Petke, Pharo, A: Pharo very simple message passing leads to small modules. Applications of Pharo and support environment good.
19:34 Q: more complex methods
21:32 Q: Bobby R. Bruce, what features should a GI friendly language have? A: Importance of names in programming context (cf. two channels in software engineering)
23:27 Q: W. B. Langdon short modules helping? A: yes, small methods in Pharo help.
Also known as \cite{conf/gi-ws/IllanesB21}
part of \cite{Petke:2021:ICSEworkshop} http://geneticimprovementofsoftware.com/events/icse2021.html",
Genetic Programming entries for Vicente Illanes Alexandre Bergel