Grammar Based Genetic Programming for Software Configuration Problem
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Kifetew:2017:SSBSE,
-
author = "Fitsum Meshesha Kifetew and Denisse Munante and
Jesus Gorronogoitia and Alberto Siena and Angelo Susi and
Anna Perini",
-
title = "Grammar Based Genetic Programming for Software
Configuration Problem",
-
booktitle = "Proceedings of the 9th International Symposium on
Search Based Software Engineering, SSBSE 2017",
-
year = "2017",
-
editor = "Tim Menzies and Justyna Petke",
-
volume = "10452",
-
series = "LNCS",
-
pages = "130--136",
-
address = "Paderborn, Germany",
-
month = sep # " 9-11",
-
publisher = "Springer",
-
keywords = "genetic algorithms, genetic programming, SBSE,
NSGA-II, Grammar Feature model Software product line",
-
isbn13 = "978-3-319-66299-2",
-
DOI = "doi:10.1007/978-3-319-66299-2_10",
-
size = "7 pages",
-
abstract = "Software Product Lines (SPLs) capture commonalities
and variability of product families, typically
represented by means of feature models. The selection
of a set of suitable features when a software product
is configured is typically made by exploring the space
of tread-offs along different attributes of interest,
for instance cost and value. In this paper, we present
an approach for optimal product configuration by
exploiting feature models and grammar guided genetic
programming. In particular, we propose a novel encoding
of candidate solutions, based on grammar representation
of feature models, which ensures that relations imposed
in the feature model are respected by the candidate
solutions.",
-
notes = "Short Papers http://ssbse17.github.io/ Co-located with
FSE/ESEC 2017",
- }
Genetic Programming entries for
Fitsum Meshesha Kifetew
Denisse Yessica Munante Arzapalo
Jesus Gorronogoitia
Alberto Siena
Angelo Susi
Anna Perini
Citations