An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning

During a Software Product Line (SPL) variability management, model validation is crucial so as to detect faults in early development stages and avoid affecting derived products quality. Therefore, the automated variability analysis has emerged for translating and validating variability models. In th...

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Autores principales: Oyarzun, Ángela, Braun, Germán, Cecchi, Laura, Fillottrani, Pablo Rubén
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
Software product lines
Orthogonal Variability Models
Description logics
Graphical tools for modelling variability
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/91150
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-91150
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Software product lines
Orthogonal Variability Models
Description logics
Graphical tools for modelling variability
spellingShingle Ciencias Informáticas
Software product lines
Orthogonal Variability Models
Description logics
Graphical tools for modelling variability
Oyarzun, Ángela
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo Rubén
An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning
topic_facet Ciencias Informáticas
Software product lines
Orthogonal Variability Models
Description logics
Graphical tools for modelling variability
description During a Software Product Line (SPL) variability management, model validation is crucial so as to detect faults in early development stages and avoid affecting derived products quality. Therefore, the automated variability analysis has emerged for translating and validating variability models. In this work, we present a catalogue of anti-patterns, which describes scenarios associated to the detection of problems in a SPL. Moreover, we extend crowd-variability, a novel graphical tool designed for modelling and validating Orthogonal Variability Models (OVM), for detecting such anti-patterns using Description Logics (DL)-based reasoning services.
format Objeto de conferencia
Objeto de conferencia
author Oyarzun, Ángela
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo Rubén
author_facet Oyarzun, Ángela
Braun, Germán
Cecchi, Laura
Fillottrani, Pablo Rubén
author_sort Oyarzun, Ángela
title An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning
title_short An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning
title_full An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning
title_fullStr An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning
title_full_unstemmed An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning
title_sort automated technique for analysis of orthogonal variability models based on anti-patterns detection using dl reasoning
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/91150
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