Evolution vs. Intelligent Design in Program Patching

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@TechReport{Brun:2013:TR,

• author = "Yuriy Brun and Earl Barr and Ming Xiao and Claire {Le Goues} and P. Devanbu",
• title = "Evolution vs. Intelligent Design in Program Patching",
• institution = "Dept. of Computer Science, University of California, Davis",
• year = "2013",
• address = "USA",
• month = "Fall",
• keywords = "genetic algorithms, genetic programming, genetic improvement, APR, SBSE",
• URL = "https://escholarship.org/uc/item/3z8926ks.pdf",
• size = "13 pages",
• abstract = "While Fixing bugs requires significant manual effort, recent research has shown that genetic programming (GP) can be used to search through a space of programs to automatically Find candidate bugfixing patches. Given a program, and a set of test cases (some of which fail), a GP-based repair technique evolves a patch or a patched program using program mutation and selection operators. We evaluate GenProg, a well-known GP-based patch generator, using a large, diverse dataset of over a thousand simple (both buggy and correct) student-written homework programs, using two different test sets: a white-box test set constructed to achieve edge coverage on an oracle program, and a black-box test set developed to exercise the desired specification. We Find that GenProg often succeeds at Finding a patch that will cause student programs to pass supplied white-box test cases; however, that the solution quite often overfits to the supplied tests and doesn't pass all the black-box tests. In contrast, when students patch their own buggy programs, these patches tend to pass the black-box tests as well. We also Find that the GenProg-generated patches lack enough diversity to benefit from a kind of bagging, in which a plurality vote over a population of GP-generated patches outperforms a randomly chosen individual patch. We report these results and additional relationships between GenProg's success and the size and complexity of the manual and automatic patches.",
• notes = "cited by \cite{Smith:2015:FSE}",

}

Genetic Programming entries for Yuriy Brun Earl Barr Ming Xiao Claire Le Goues Premkumar Devanbu

Citations