An Ontological Approach to Analyze the Data Required by a System Quality Scheme

Autores
Blas, María Julia; Gonnet, Silvio M.
Año de publicación
2015
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
According to IEEE, software quality is the degree to which software possesses a desired combination of attributes. Quality attributes have been of interest to the software community since 1970 and in the past few years this interest has increase. However, still is not clear how product quality should apply in the development process. The need to know what quality characteristics influence a specific entity and which is the information required to cover its measurement is the objective of this work. This paper presents an ontology to document a quality scheme with a specification based on ISO/IEC 25010. This contribution includes rules and queries that help to determine the data required to carry out the measurement process.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
ontology
quality scheme
software metrics
software product
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/55340

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spelling An Ontological Approach to Analyze the Data Required by a System Quality SchemeBlas, María JuliaGonnet, Silvio M.Ciencias Informáticasontologyquality schemesoftware metricssoftware productAccording to IEEE, software quality is the degree to which software possesses a desired combination of attributes. Quality attributes have been of interest to the software community since 1970 and in the past few years this interest has increase. However, still is not clear how product quality should apply in the development process. The need to know what quality characteristics influence a specific entity and which is the information required to cover its measurement is the objective of this work. This paper presents an ontology to document a quality scheme with a specification based on ISO/IEC 25010. This contribution includes rules and queries that help to determine the data required to carry out the measurement process.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2015-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf111-120http://sedici.unlp.edu.ar/handle/10915/55340enginfo:eu-repo/semantics/altIdentifier/url/http://44jaiio.sadio.org.ar/sites/default/files/saoa111-120.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7518info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:05:42Zoai:sedici.unlp.edu.ar:10915/55340Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:05:43.208SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An Ontological Approach to Analyze the Data Required by a System Quality Scheme
title An Ontological Approach to Analyze the Data Required by a System Quality Scheme
spellingShingle An Ontological Approach to Analyze the Data Required by a System Quality Scheme
Blas, María Julia
Ciencias Informáticas
ontology
quality scheme
software metrics
software product
title_short An Ontological Approach to Analyze the Data Required by a System Quality Scheme
title_full An Ontological Approach to Analyze the Data Required by a System Quality Scheme
title_fullStr An Ontological Approach to Analyze the Data Required by a System Quality Scheme
title_full_unstemmed An Ontological Approach to Analyze the Data Required by a System Quality Scheme
title_sort An Ontological Approach to Analyze the Data Required by a System Quality Scheme
dc.creator.none.fl_str_mv Blas, María Julia
Gonnet, Silvio M.
author Blas, María Julia
author_facet Blas, María Julia
Gonnet, Silvio M.
author_role author
author2 Gonnet, Silvio M.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
ontology
quality scheme
software metrics
software product
topic Ciencias Informáticas
ontology
quality scheme
software metrics
software product
dc.description.none.fl_txt_mv According to IEEE, software quality is the degree to which software possesses a desired combination of attributes. Quality attributes have been of interest to the software community since 1970 and in the past few years this interest has increase. However, still is not clear how product quality should apply in the development process. The need to know what quality characteristics influence a specific entity and which is the information required to cover its measurement is the objective of this work. This paper presents an ontology to document a quality scheme with a specification based on ISO/IEC 25010. This contribution includes rules and queries that help to determine the data required to carry out the measurement process.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description According to IEEE, software quality is the degree to which software possesses a desired combination of attributes. Quality attributes have been of interest to the software community since 1970 and in the past few years this interest has increase. However, still is not clear how product quality should apply in the development process. The need to know what quality characteristics influence a specific entity and which is the information required to cover its measurement is the objective of this work. This paper presents an ontology to document a quality scheme with a specification based on ISO/IEC 25010. This contribution includes rules and queries that help to determine the data required to carry out the measurement process.
publishDate 2015
dc.date.none.fl_str_mv 2015-09
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