Can quality-attribute requirements be identified from early aspects? : QAMiner: a preliminary approach to quality-attribute mining

Specifying good software requirement documents is a difficult task. Many software projects fail because of the omission or bad encapsulation of concerns. A practical way to solve these problems is to use advanced separation of concern techniques, such as aspect-orientation. However, quality attribut...

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Detalles Bibliográficos
Autores principales: Rago, Alejandro, Marcos, Claudia A., Diaz-Pace, Andrés
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2011
Materias:
Ciencias Informáticas
Quality attribute
Software requirement
Crosscutting concern
Early aspect
Use case specification
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/125496
https://40jaiio.sadio.org.ar/sites/default/files/T2011/ASSE/793.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-125496
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
Quality attribute
Software requirement
Crosscutting concern
Early aspect
Use case specification
spellingShingle Ciencias Informáticas
Quality attribute
Software requirement
Crosscutting concern
Early aspect
Use case specification
Rago, Alejandro
Marcos, Claudia A.
Diaz-Pace, Andrés
Can quality-attribute requirements be identified from early aspects? : QAMiner: a preliminary approach to quality-attribute mining
topic_facet Ciencias Informáticas
Quality attribute
Software requirement
Crosscutting concern
Early aspect
Use case specification
description Specifying good software requirement documents is a difficult task. Many software projects fail because of the omission or bad encapsulation of concerns. A practical way to solve these problems is to use advanced separation of concern techniques, such as aspect-orientation. However, quality attributes are not completely addressed by them. In this work, we present a novel approach to uncover quality-attribute requirements. The identification is performed in an automated-fashion, relying on early asp ects to guide it and using ontologies to model domain knowledge. Our tool was evaluated on two well-known systems, and contrasted with architectural documents.
format Objeto de conferencia
Objeto de conferencia
author Rago, Alejandro
Marcos, Claudia A.
Diaz-Pace, Andrés
author_facet Rago, Alejandro
Marcos, Claudia A.
Diaz-Pace, Andrés
author_sort Rago, Alejandro
title Can quality-attribute requirements be identified from early aspects? : QAMiner: a preliminary approach to quality-attribute mining
title_short Can quality-attribute requirements be identified from early aspects? : QAMiner: a preliminary approach to quality-attribute mining
title_full Can quality-attribute requirements be identified from early aspects? : QAMiner: a preliminary approach to quality-attribute mining
title_fullStr Can quality-attribute requirements be identified from early aspects? : QAMiner: a preliminary approach to quality-attribute mining
title_full_unstemmed Can quality-attribute requirements be identified from early aspects? : QAMiner: a preliminary approach to quality-attribute mining
title_sort can quality-attribute requirements be identified from early aspects? : qaminer: a preliminary approach to quality-attribute mining
publishDate 2011
url http://sedici.unlp.edu.ar/handle/10915/125496
https://40jaiio.sadio.org.ar/sites/default/files/T2011/ASSE/793.pdf
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