Towards recovering architectural information from images of architectural diagrams

The architecture of a software system is often described with diagrams embedded in the documentation. However, these diagrams are normally stored and shared as images, losing track of model-level architectural information and refraining software engineers from working on the architectural model late...

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Detalles Bibliográficos
Autores principales: Maggiori, Emmanuel, Gervasoni, Luciano, Antúnez, Matías, Rago, Alejandro, Díaz Pace, J. Andrés
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Ciencias Informáticas
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/41667
http://43jaiio.sadio.org.ar/proceedings/ASSE/01-04-686-2488-1-DR.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-41667
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
spellingShingle Ciencias Informáticas
Maggiori, Emmanuel
Gervasoni, Luciano
Antúnez, Matías
Rago, Alejandro
Díaz Pace, J. Andrés
Towards recovering architectural information from images of architectural diagrams
topic_facet Ciencias Informáticas
description The architecture of a software system is often described with diagrams embedded in the documentation. However, these diagrams are normally stored and shared as images, losing track of model-level architectural information and refraining software engineers from working on the architectural model later on. In this context, tools able to extract architectural information from images can be of great help. In this article, we present a framework called IMEAV for processing architectural diagrams (based on speci c viewtypes) and recovering information from them. We have instantiated our framework to analyze \module views" and evaluated this prototype with an image dataset. Results have been encouraging, showing a good accuracy for recognizing modules, relations and textual features.
format Objeto de conferencia
Objeto de conferencia
author Maggiori, Emmanuel
Gervasoni, Luciano
Antúnez, Matías
Rago, Alejandro
Díaz Pace, J. Andrés
author_facet Maggiori, Emmanuel
Gervasoni, Luciano
Antúnez, Matías
Rago, Alejandro
Díaz Pace, J. Andrés
author_sort Maggiori, Emmanuel
title Towards recovering architectural information from images of architectural diagrams
title_short Towards recovering architectural information from images of architectural diagrams
title_full Towards recovering architectural information from images of architectural diagrams
title_fullStr Towards recovering architectural information from images of architectural diagrams
title_full_unstemmed Towards recovering architectural information from images of architectural diagrams
title_sort towards recovering architectural information from images of architectural diagrams
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/41667
http://43jaiio.sadio.org.ar/proceedings/ASSE/01-04-686-2488-1-DR.pdf
work_keys_str_mv AT maggioriemmanuel towardsrecoveringarchitecturalinformationfromimagesofarchitecturaldiagrams
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AT antunezmatias towardsrecoveringarchitecturalinformationfromimagesofarchitecturaldiagrams
AT ragoalejandro towardsrecoveringarchitecturalinformationfromimagesofarchitecturaldiagrams
AT diazpacejandres towardsrecoveringarchitecturalinformationfromimagesofarchitecturaldiagrams
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