Generating Tree Inputs For Testing Using Evolutionary Computation Techniques
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{grinan:2020:CEC,
-
author = "David Grinan and Alfredo Ibias",
-
title = "Generating Tree Inputs For Testing Using Evolutionary
Computation Techniques",
-
booktitle = "2020 IEEE Congress on Evolutionary Computation, CEC
2020",
-
year = "2020",
-
editor = "Yaochu Jin",
-
pages = "paper id24267",
-
address = "internet",
-
month = "19-24 " # jul,
-
organization = "IEEE Computational Intelligence Society",
-
publisher = "IEEE Press",
-
keywords = "genetic algorithms, genetic programming, PSO, SBSE,
Software Testing, Evolutionary Computation, Mutation
Testing",
-
isbn13 = "978-1-7281-6929-3",
-
URL = "https://alfredoibias.com/wp-content/uploads/2020/04/2020-CEC.pdf",
-
DOI = "doi:10.1109/CEC48606.2020.9185561",
-
size = "8 pages",
-
abstract = "Software Testing usually considers programs with
parameters ranging over simple types. However, there
are many programs using structured types. The main
problem to test these programs is that it is not easy
to select a relatively small test suite that can find
most of the faults in these programs. In this paper we
present a framework to generate test suites for unit
testing of methods which have trees as parameters. We
combine classical mutation testing with Evolutionary
Computation techniques to evolve a population of trees.
The final goal is to obtain a set of trees,
representing good test cases, that will be used as the
test suite to test the corresponding method.",
-
notes = "https://wcci2020.org/",
- }
Genetic Programming entries for
David Grinan
Alfredo Ibias
Citations