An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning
- Autores
- Oyarzun, Ángela; Braun, Germán; Cecchi, Laura; Fillottrani, Pablo Rubén
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- 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.
XI Workshop Innovación en Sistemas de Software.
Red de Universidades con Carreras en Informática - Materia
-
Ciencias Informáticas
Software product lines
Orthogonal Variability Models
Description logics
Graphical tools for modelling variability - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/91150
Ver los metadatos del registro completo
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An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoningOyarzun, ÁngelaBraun, GermánCecchi, LauraFillottrani, Pablo RubénCiencias InformáticasSoftware product linesOrthogonal Variability ModelsDescription logicsGraphical tools for modelling variabilityDuring 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.XI Workshop Innovación en Sistemas de Software.Red de Universidades con Carreras en Informática2019-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf940-949http://sedici.unlp.edu.ar/handle/10915/91150enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-688-377-1info:eu-repo/semantics/reference/hdl/10915/90359info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:19:03Zoai:sedici.unlp.edu.ar:10915/91150Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:19:03.576SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning |
title |
An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning |
spellingShingle |
An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning Oyarzun, Ángela Ciencias Informáticas Software product lines Orthogonal Variability Models Description logics Graphical tools for modelling variability |
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 |
An Automated Technique for Analysis of Orthogonal Variability Models based on Anti-patterns Detection using DL reasoning |
dc.creator.none.fl_str_mv |
Oyarzun, Ángela Braun, Germán Cecchi, Laura Fillottrani, Pablo Rubén |
author |
Oyarzun, Ángela |
author_facet |
Oyarzun, Ángela Braun, Germán Cecchi, Laura Fillottrani, Pablo Rubén |
author_role |
author |
author2 |
Braun, Germán Cecchi, Laura Fillottrani, Pablo Rubén |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Software product lines Orthogonal Variability Models Description logics Graphical tools for modelling variability |
topic |
Ciencias Informáticas Software product lines Orthogonal Variability Models Description logics Graphical tools for modelling variability |
dc.description.none.fl_txt_mv |
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. XI Workshop Innovación en Sistemas de Software. Red de Universidades con Carreras en Informática |
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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/91150 |
url |
http://sedici.unlp.edu.ar/handle/10915/91150 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/isbn/978-987-688-377-1 info:eu-repo/semantics/reference/hdl/10915/90359 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf 940-949 |
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