Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications

Autores
Crasso, Marco Patricio; Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Service-Oriented Computing (SOC) has been broadly conceived as the next big thing in distributed software development. The software industry has embraced SOC through Web Services -functionality that is accessible via ubiquitous protocols such as HTTP-. This technology provides the basis for reuse and interoperability of applications across the WWW. However, consuming Web Services is still an expensive task in terms of development costs, since developers still have to invest much effort not only into manually discovering services, but also on providing code to invoke them, which leads to software that is polluted with service-aware code and therefore is more difficult to modify and test. Recently, a technique that has become very popular for building software is Dependency Injection (DI), which allows applications to be far more testable and maintainable. In this paper, we quantitatively analyze some of the benefits and costs of DI for building Web Service applications. We base our experiments on a refined version of DI that combines text-mining, machine learning, and best practices from component-based software development to simplify the way Web Services are discovered and consumed. To our knowledge, this is the first study on the impacts of using DI in the context of SOC.
Fil: Crasso, Marco Patricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Campo, Marcelo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Materia
SERVICE-ORIENTED COMPUTING
WEB SERVICES
DEPENDENCY INJECTION
CODE-FIRST OUTSOURCING
TEXT MINING
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:11336/275417
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/275417
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Empirically Assessing the Impact of Dependency Injection on the Development of Web Service ApplicationsCrasso, Marco PatricioMateos Diaz, Cristian MaximilianoZunino Suarez, Alejandro OctavioCampo, Marcelo RicardoSERVICE-ORIENTED COMPUTINGWEB SERVICESDEPENDENCY INJECTIONCODE-FIRST OUTSOURCINGTEXT MININGhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Service-Oriented Computing (SOC) has been broadly conceived as the next big thing in distributed software development. The software industry has embraced SOC through Web Services -functionality that is accessible via ubiquitous protocols such as HTTP-. This technology provides the basis for reuse and interoperability of applications across the WWW. However, consuming Web Services is still an expensive task in terms of development costs, since developers still have to invest much effort not only into manually discovering services, but also on providing code to invoke them, which leads to software that is polluted with service-aware code and therefore is more difficult to modify and test. Recently, a technique that has become very popular for building software is Dependency Injection (DI), which allows applications to be far more testable and maintainable. In this paper, we quantitatively analyze some of the benefits and costs of DI for building Web Service applications. We base our experiments on a refined version of DI that combines text-mining, machine learning, and best practices from component-based software development to simplify the way Web Services are discovered and consumed. To our knowledge, this is the first study on the impacts of using DI in the context of SOC.Fil: Crasso, Marco Patricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Campo, Marcelo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaRinton Press2010-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/275417Crasso, Marco Patricio; Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo; Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications; Rinton Press; Journal of Web Engineering; 9; 1; 1-2010; 66-941540-9589CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.rintonpress.com/journals/jweonline.html#v9n1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-23T13:44:13Zoai:ri.conicet.gov.ar:11336/275417instacron: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:34982025-12-23 13:44:13.379CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications
title Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications
spellingShingle Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications
Crasso, Marco Patricio
SERVICE-ORIENTED COMPUTING
WEB SERVICES
DEPENDENCY INJECTION
CODE-FIRST OUTSOURCING
TEXT MINING
title_short Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications
title_full Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications
title_fullStr Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications
title_full_unstemmed Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications
title_sort Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications
dc.creator.none.fl_str_mv Crasso, Marco Patricio
Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Campo, Marcelo Ricardo
author Crasso, Marco Patricio
author_facet Crasso, Marco Patricio
Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Campo, Marcelo Ricardo
author_role author
author2 Mateos Diaz, Cristian Maximiliano
Zunino Suarez, Alejandro Octavio
Campo, Marcelo Ricardo
author2_role author
author
author
dc.subject.none.fl_str_mv SERVICE-ORIENTED COMPUTING
WEB SERVICES
DEPENDENCY INJECTION
CODE-FIRST OUTSOURCING
TEXT MINING
topic SERVICE-ORIENTED COMPUTING
WEB SERVICES
DEPENDENCY INJECTION
CODE-FIRST OUTSOURCING
TEXT MINING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Service-Oriented Computing (SOC) has been broadly conceived as the next big thing in distributed software development. The software industry has embraced SOC through Web Services -functionality that is accessible via ubiquitous protocols such as HTTP-. This technology provides the basis for reuse and interoperability of applications across the WWW. However, consuming Web Services is still an expensive task in terms of development costs, since developers still have to invest much effort not only into manually discovering services, but also on providing code to invoke them, which leads to software that is polluted with service-aware code and therefore is more difficult to modify and test. Recently, a technique that has become very popular for building software is Dependency Injection (DI), which allows applications to be far more testable and maintainable. In this paper, we quantitatively analyze some of the benefits and costs of DI for building Web Service applications. We base our experiments on a refined version of DI that combines text-mining, machine learning, and best practices from component-based software development to simplify the way Web Services are discovered and consumed. To our knowledge, this is the first study on the impacts of using DI in the context of SOC.
Fil: Crasso, Marco Patricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
Fil: Campo, Marcelo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
description Service-Oriented Computing (SOC) has been broadly conceived as the next big thing in distributed software development. The software industry has embraced SOC through Web Services -functionality that is accessible via ubiquitous protocols such as HTTP-. This technology provides the basis for reuse and interoperability of applications across the WWW. However, consuming Web Services is still an expensive task in terms of development costs, since developers still have to invest much effort not only into manually discovering services, but also on providing code to invoke them, which leads to software that is polluted with service-aware code and therefore is more difficult to modify and test. Recently, a technique that has become very popular for building software is Dependency Injection (DI), which allows applications to be far more testable and maintainable. In this paper, we quantitatively analyze some of the benefits and costs of DI for building Web Service applications. We base our experiments on a refined version of DI that combines text-mining, machine learning, and best practices from component-based software development to simplify the way Web Services are discovered and consumed. To our knowledge, this is the first study on the impacts of using DI in the context of SOC.
publishDate 2010
dc.date.none.fl_str_mv 2010-01
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/11336/275417
Crasso, Marco Patricio; Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo; Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications; Rinton Press; Journal of Web Engineering; 9; 1; 1-2010; 66-94
1540-9589
CONICET Digital
CONICET
url http://hdl.handle.net/11336/275417
identifier_str_mv Crasso, Marco Patricio; Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Campo, Marcelo Ricardo; Empirically Assessing the Impact of Dependency Injection on the Development of Web Service Applications; Rinton Press; Journal of Web Engineering; 9; 1; 1-2010; 66-94
1540-9589
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.rintonpress.com/journals/jweonline.html#v9n1
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
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Rinton Press
publisher.none.fl_str_mv Rinton Press
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 12.952241

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