An Evolutionary Process for Product-driven Updates of Feature Models
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10367704" target="_blank" >RIV/00216208:11320/18:10367704 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1145/3168365.3168374" target="_blank" >http://dx.doi.org/10.1145/3168365.3168374</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3168365.3168374" target="_blank" >10.1145/3168365.3168374</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
An Evolutionary Process for Product-driven Updates of Feature Models
Popis výsledku v původním jazyce
Feature models are a widely used modeling notation for variability and commonality management in software product line (SPL) engineering. In order to keep an SPL and its feature model aligned, feature models must be changed by including/excluding new features and products, either because faults in the model are found or to reflect the normal evolution of the SPL. The modification of the feature model able to satisfy these change requirements can be complex and error-prone. In this paper, we present a method that is able to automatically update a feature model in order to satisfy a given update request. Our method is based on an evolutionary algorithm and it iteratively applies structure-preserving mutations to the original model, until the model is completely updated. We evaluate the process on real-world feature models. Although our approach does not guarantee to completely update all possible feature models, empirical analysis shows that, on average, more than 80% of requested changes are applied.
Název v anglickém jazyce
An Evolutionary Process for Product-driven Updates of Feature Models
Popis výsledku anglicky
Feature models are a widely used modeling notation for variability and commonality management in software product line (SPL) engineering. In order to keep an SPL and its feature model aligned, feature models must be changed by including/excluding new features and products, either because faults in the model are found or to reflect the normal evolution of the SPL. The modification of the feature model able to satisfy these change requirements can be complex and error-prone. In this paper, we present a method that is able to automatically update a feature model in order to satisfy a given update request. Our method is based on an evolutionary algorithm and it iteratively applies structure-preserving mutations to the original model, until the model is completely updated. We evaluate the process on real-world feature models. Although our approach does not guarantee to completely update all possible feature models, empirical analysis shows that, on average, more than 80% of requested changes are applied.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA17-12465S" target="_blank" >GA17-12465S: Verifikace a hledání chyb v pokročilém softwaru</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems
ISBN
978-1-4503-5398-4
ISSN
—
e-ISSN
neuvedeno
Počet stran výsledku
8
Strana od-do
67-74
Název nakladatele
ACM
Místo vydání
New York, NY, USA
Místo konání akce
Madrid
Datum konání akce
7. 2. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—