An approach for web service discoverability anti-pattern detection for journal of web engineering

Autores
Rodriguez, Juan Manuel; Zunino Suarez, Alejandro Octavio; Crasso, Marco Patricio
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The Service Oriented Computing paradigm and its most popular implementation, namely Web Services, are at the crossing of distributed computing and loosely coupled systems. Web Services can be discovered and reused dynamically using non-proprietary mechanisms, but when Web Services are poorly described, they become difficult to be discovered, understood, and then reused. This paper presents novel algorithms and heuristics for automatically detecting common pitfalls that should be avoided when creating Web Services descriptions. To assess the accuracy of the proposed algorithms and heuristics, we compared their results with the results of manually analyzing a data-set of 400 publicly available services. In addition, we analyzed the correlation between the algorithms and heuristics results and other well-known quality metrics, which were presented by Al-Masri and Mahmoud. The average detection accuracy was 93.14% , and the false positive and false negative rates of 4.06% and 9.91% , respectively. Additionally, the Al-Masri and Mahmoud´s quality metrics related to Web Services descriptions had a direct correlation with most of the automatic detecting results. The proposed algorithms and heuristics for automatically detecting common pitfalls are powerful tools for both improving existent Web Services and developing new Web Services that can be easily discovered, understood and reused.
Fil: Rodriguez, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Fil: Crasso, Marco Patricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Materia
Web Services
Web Services Discoverability Anti-Patterns
Web Services Modeling
Anti-Patterns Detection
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:11336/6788
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/6788
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling An approach for web service discoverability anti-pattern detection for journal of web engineeringRodriguez, Juan ManuelZunino Suarez, Alejandro OctavioCrasso, Marco PatricioWeb ServicesWeb Services Discoverability Anti-PatternsWeb Services ModelingAnti-Patterns Detectionhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The Service Oriented Computing paradigm and its most popular implementation, namely Web Services, are at the crossing of distributed computing and loosely coupled systems. Web Services can be discovered and reused dynamically using non-proprietary mechanisms, but when Web Services are poorly described, they become difficult to be discovered, understood, and then reused. This paper presents novel algorithms and heuristics for automatically detecting common pitfalls that should be avoided when creating Web Services descriptions. To assess the accuracy of the proposed algorithms and heuristics, we compared their results with the results of manually analyzing a data-set of 400 publicly available services. In addition, we analyzed the correlation between the algorithms and heuristics results and other well-known quality metrics, which were presented by Al-Masri and Mahmoud. The average detection accuracy was 93.14% , and the false positive and false negative rates of 4.06% and 9.91% , respectively. Additionally, the Al-Masri and Mahmoud´s quality metrics related to Web Services descriptions had a direct correlation with most of the automatic detecting results. The proposed algorithms and heuristics for automatically detecting common pitfalls are powerful tools for both improving existent Web Services and developing new Web Services that can be easily discovered, understood and reused.Fil: Rodriguez, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaFil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaFil: Crasso, Marco Patricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaRinton Press, Inc2013-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/zipapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6788Rodriguez, Juan Manuel; Zunino Suarez, Alejandro Octavio; Crasso, Marco Patricio; An approach for web service discoverability anti-pattern detection for journal of web engineering; Rinton Press, Inc; Journal Of Web Engineering; 12; 1&2; 1-2013; 131-1581540-9589enginfo:eu-repo/semantics/altIdentifier/url/http://www.rintonpress.com/journals/jweonline.html#v12n12info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:43:54Zoai:ri.conicet.gov.ar:11336/6788instacron: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:34982025-10-15 14:43:54.955CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An approach for web service discoverability anti-pattern detection for journal of web engineering
title An approach for web service discoverability anti-pattern detection for journal of web engineering
spellingShingle An approach for web service discoverability anti-pattern detection for journal of web engineering
Rodriguez, Juan Manuel
Web Services
Web Services Discoverability Anti-Patterns
Web Services Modeling
Anti-Patterns Detection
title_short An approach for web service discoverability anti-pattern detection for journal of web engineering
title_full An approach for web service discoverability anti-pattern detection for journal of web engineering
title_fullStr An approach for web service discoverability anti-pattern detection for journal of web engineering
title_full_unstemmed An approach for web service discoverability anti-pattern detection for journal of web engineering
title_sort An approach for web service discoverability anti-pattern detection for journal of web engineering
dc.creator.none.fl_str_mv Rodriguez, Juan Manuel
Zunino Suarez, Alejandro Octavio
Crasso, Marco Patricio
author Rodriguez, Juan Manuel
author_facet Rodriguez, Juan Manuel
Zunino Suarez, Alejandro Octavio
Crasso, Marco Patricio
author_role author
author2 Zunino Suarez, Alejandro Octavio
Crasso, Marco Patricio
author2_role author
author
dc.subject.none.fl_str_mv Web Services
Web Services Discoverability Anti-Patterns
Web Services Modeling
Anti-Patterns Detection
topic Web Services
Web Services Discoverability Anti-Patterns
Web Services Modeling
Anti-Patterns Detection
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The Service Oriented Computing paradigm and its most popular implementation, namely Web Services, are at the crossing of distributed computing and loosely coupled systems. Web Services can be discovered and reused dynamically using non-proprietary mechanisms, but when Web Services are poorly described, they become difficult to be discovered, understood, and then reused. This paper presents novel algorithms and heuristics for automatically detecting common pitfalls that should be avoided when creating Web Services descriptions. To assess the accuracy of the proposed algorithms and heuristics, we compared their results with the results of manually analyzing a data-set of 400 publicly available services. In addition, we analyzed the correlation between the algorithms and heuristics results and other well-known quality metrics, which were presented by Al-Masri and Mahmoud. The average detection accuracy was 93.14% , and the false positive and false negative rates of 4.06% and 9.91% , respectively. Additionally, the Al-Masri and Mahmoud´s quality metrics related to Web Services descriptions had a direct correlation with most of the automatic detecting results. The proposed algorithms and heuristics for automatically detecting common pitfalls are powerful tools for both improving existent Web Services and developing new Web Services that can be easily discovered, understood and reused.
Fil: Rodriguez, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Fil: Zunino Suarez, Alejandro Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
Fil: Crasso, Marco Patricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentina
description The Service Oriented Computing paradigm and its most popular implementation, namely Web Services, are at the crossing of distributed computing and loosely coupled systems. Web Services can be discovered and reused dynamically using non-proprietary mechanisms, but when Web Services are poorly described, they become difficult to be discovered, understood, and then reused. This paper presents novel algorithms and heuristics for automatically detecting common pitfalls that should be avoided when creating Web Services descriptions. To assess the accuracy of the proposed algorithms and heuristics, we compared their results with the results of manually analyzing a data-set of 400 publicly available services. In addition, we analyzed the correlation between the algorithms and heuristics results and other well-known quality metrics, which were presented by Al-Masri and Mahmoud. The average detection accuracy was 93.14% , and the false positive and false negative rates of 4.06% and 9.91% , respectively. Additionally, the Al-Masri and Mahmoud´s quality metrics related to Web Services descriptions had a direct correlation with most of the automatic detecting results. The proposed algorithms and heuristics for automatically detecting common pitfalls are powerful tools for both improving existent Web Services and developing new Web Services that can be easily discovered, understood and reused.
publishDate 2013
dc.date.none.fl_str_mv 2013-01
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/11336/6788
Rodriguez, Juan Manuel; Zunino Suarez, Alejandro Octavio; Crasso, Marco Patricio; An approach for web service discoverability anti-pattern detection for journal of web engineering; Rinton Press, Inc; Journal Of Web Engineering; 12; 1&2; 1-2013; 131-158
1540-9589
url http://hdl.handle.net/11336/6788
identifier_str_mv Rodriguez, Juan Manuel; Zunino Suarez, Alejandro Octavio; Crasso, Marco Patricio; An approach for web service discoverability anti-pattern detection for journal of web engineering; Rinton Press, Inc; Journal Of Web Engineering; 12; 1&2; 1-2013; 131-158
1540-9589
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#v12n12
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/zip
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Rinton Press, Inc
publisher.none.fl_str_mv Rinton Press, Inc
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 13.22299

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