Semantic metrics for software products

Autores
Mili, A.; Jaoua, Ali; Frias, Marcelo Fabian; Helali, Rasha Gaffer Mohamed
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Like all engineering disciplines, software engineering relies on quantitative analysis to support rationalized decision making. Software engineering researchers and practitioners have traditionally relied on software metrics to quantify attributes of software products and processes. Whereas traditional software metrics are typically based on a syntactic analysis of software products, we introduce and discuss metrics that are based on a semantic analysis: our metrics do not reflect the form or structure of software products, but rather the properties of their function. At a time when software systems grow increasingly large and complex, the focus on diagnosing, identifying and removing every fault in the software product ought to relinquish the stage to a more measured, more balanced, and more realistic approach, which emphasizes failure avoidance, in addition to fault avoidance and fault removal. Semantic metrics are a good fit for this purpose, reflecting as they do a system's ability to avoid failure rather than its proneness to being free of faults.
Fil: Mili, A.. New Jersey Institute of Technology; Estados Unidos
Fil: Jaoua, Ali. Qatar University; Qatar
Fil: Frias, Marcelo Fabian. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Helali, Rasha Gaffer Mohamed. College of Engineering; Sudáfrica
Materia
ERROR MASKABILITY
FUNCTIONAL REDUNDANCY
REQUIREMENTS FLEXIBILITY
SEMANTIC METRICS
STATE REDUNDANCY
SYNTACTIC METRICS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/85985
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Semantic metrics for software productsMili, A.Jaoua, AliFrias, Marcelo FabianHelali, Rasha Gaffer MohamedERROR MASKABILITYFUNCTIONAL REDUNDANCYREQUIREMENTS FLEXIBILITYSEMANTIC METRICSSTATE REDUNDANCYSYNTACTIC METRICShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Like all engineering disciplines, software engineering relies on quantitative analysis to support rationalized decision making. Software engineering researchers and practitioners have traditionally relied on software metrics to quantify attributes of software products and processes. Whereas traditional software metrics are typically based on a syntactic analysis of software products, we introduce and discuss metrics that are based on a semantic analysis: our metrics do not reflect the form or structure of software products, but rather the properties of their function. At a time when software systems grow increasingly large and complex, the focus on diagnosing, identifying and removing every fault in the software product ought to relinquish the stage to a more measured, more balanced, and more realistic approach, which emphasizes failure avoidance, in addition to fault avoidance and fault removal. Semantic metrics are a good fit for this purpose, reflecting as they do a system's ability to avoid failure rather than its proneness to being free of faults.Fil: Mili, A.. New Jersey Institute of Technology; Estados UnidosFil: Jaoua, Ali. Qatar University; QatarFil: Frias, Marcelo Fabian. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Helali, Rasha Gaffer Mohamed. College of Engineering; SudáfricaSpringer2014-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/85985Mili, A.; Jaoua, Ali; Frias, Marcelo Fabian; Helali, Rasha Gaffer Mohamed; Semantic metrics for software products; Springer; Innovations in Systems and Software Engineering; 10; 3; 3-2014; 203-2171614-50461614-5054CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s11334-014-0233-3info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s11334-014-0233-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:55:03Zoai:ri.conicet.gov.ar:11336/85985instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:55:03.914CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Semantic metrics for software products
title Semantic metrics for software products
spellingShingle Semantic metrics for software products
Mili, A.
ERROR MASKABILITY
FUNCTIONAL REDUNDANCY
REQUIREMENTS FLEXIBILITY
SEMANTIC METRICS
STATE REDUNDANCY
SYNTACTIC METRICS
title_short Semantic metrics for software products
title_full Semantic metrics for software products
title_fullStr Semantic metrics for software products
title_full_unstemmed Semantic metrics for software products
title_sort Semantic metrics for software products
dc.creator.none.fl_str_mv Mili, A.
Jaoua, Ali
Frias, Marcelo Fabian
Helali, Rasha Gaffer Mohamed
author Mili, A.
author_facet Mili, A.
Jaoua, Ali
Frias, Marcelo Fabian
Helali, Rasha Gaffer Mohamed
author_role author
author2 Jaoua, Ali
Frias, Marcelo Fabian
Helali, Rasha Gaffer Mohamed
author2_role author
author
author
dc.subject.none.fl_str_mv ERROR MASKABILITY
FUNCTIONAL REDUNDANCY
REQUIREMENTS FLEXIBILITY
SEMANTIC METRICS
STATE REDUNDANCY
SYNTACTIC METRICS
topic ERROR MASKABILITY
FUNCTIONAL REDUNDANCY
REQUIREMENTS FLEXIBILITY
SEMANTIC METRICS
STATE REDUNDANCY
SYNTACTIC METRICS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Like all engineering disciplines, software engineering relies on quantitative analysis to support rationalized decision making. Software engineering researchers and practitioners have traditionally relied on software metrics to quantify attributes of software products and processes. Whereas traditional software metrics are typically based on a syntactic analysis of software products, we introduce and discuss metrics that are based on a semantic analysis: our metrics do not reflect the form or structure of software products, but rather the properties of their function. At a time when software systems grow increasingly large and complex, the focus on diagnosing, identifying and removing every fault in the software product ought to relinquish the stage to a more measured, more balanced, and more realistic approach, which emphasizes failure avoidance, in addition to fault avoidance and fault removal. Semantic metrics are a good fit for this purpose, reflecting as they do a system's ability to avoid failure rather than its proneness to being free of faults.
Fil: Mili, A.. New Jersey Institute of Technology; Estados Unidos
Fil: Jaoua, Ali. Qatar University; Qatar
Fil: Frias, Marcelo Fabian. Instituto Tecnológico de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Helali, Rasha Gaffer Mohamed. College of Engineering; Sudáfrica
description Like all engineering disciplines, software engineering relies on quantitative analysis to support rationalized decision making. Software engineering researchers and practitioners have traditionally relied on software metrics to quantify attributes of software products and processes. Whereas traditional software metrics are typically based on a syntactic analysis of software products, we introduce and discuss metrics that are based on a semantic analysis: our metrics do not reflect the form or structure of software products, but rather the properties of their function. At a time when software systems grow increasingly large and complex, the focus on diagnosing, identifying and removing every fault in the software product ought to relinquish the stage to a more measured, more balanced, and more realistic approach, which emphasizes failure avoidance, in addition to fault avoidance and fault removal. Semantic metrics are a good fit for this purpose, reflecting as they do a system's ability to avoid failure rather than its proneness to being free of faults.
publishDate 2014
dc.date.none.fl_str_mv 2014-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/85985
Mili, A.; Jaoua, Ali; Frias, Marcelo Fabian; Helali, Rasha Gaffer Mohamed; Semantic metrics for software products; Springer; Innovations in Systems and Software Engineering; 10; 3; 3-2014; 203-217
1614-5046
1614-5054
CONICET Digital
CONICET
url http://hdl.handle.net/11336/85985
identifier_str_mv Mili, A.; Jaoua, Ali; Frias, Marcelo Fabian; Helali, Rasha Gaffer Mohamed; Semantic metrics for software products; Springer; Innovations in Systems and Software Engineering; 10; 3; 3-2014; 203-217
1614-5046
1614-5054
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s11334-014-0233-3
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s11334-014-0233-3
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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