Model Driven Software Reconfiguration by Exploiting Grammar Based Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Munante:2018:MoDRE,
-
author = "Denisse Munante and Fitsum Meshesha Kifetew and
Jesus Gorronogoitia and Ronnie Schaniel and Anna Perini and
Angelo Susi",
-
booktitle = "2018 IEEE 8th International Model-Driven Requirements
Engineering Workshop (MoDRE)",
-
title = "Model Driven Software Reconfiguration by Exploiting
Grammar Based Genetic Programming",
-
year = "2018",
-
pages = "21--25",
-
abstract = "Dynamic reconfiguration of software systems can be
achieved by exploiting variability models of such
systems, combined with mechanisms for selecting and
instantiating the appropriate system configuration. We
developed a model-driven approach for dynamic software
reconfiguration, which uses a component
profile-oriented feature model for representing
different configurations of a software system, and a
grammar based genetic programming tool that, at
run-time, automatically generates an optimal system
configuration. The resulting feature configuration is
transformed to a target format such as JSON, SQL or
other specification that allows us to instantiate the
new system configuration. In this paper we focus on the
run-time reasoning and propagation aspect, and discuss
our experience on applying the approach to a use
case.",
-
keywords = "genetic algorithms, genetic programming",
-
DOI = "doi:10.1109/MoDRE.2018.00009",
-
month = aug,
-
notes = "Also known as \cite{8501490}",
- }
Genetic Programming entries for
Denisse Yessica Munante Arzapalo
Fitsum Meshesha Kifetew
Jesus Gorronogoitia
Ronnie Schaniel
Anna Perini
Angelo Susi
Citations