Applying Meta-Functions for Improving JavaScript Code Performance

Autores
Medel, Ricardo; Ferreyra, Alexis; Navaro, Néstor; Ravera, Emanuel
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In recent years, the expansion of the World Wide Web, and web runtimes in particular, to all kind of devices has rendered the Java- Script performance in a hot topic. Several approaches to improve the performance of JavaScript applications have been tried by the industrial and research communities. In this paper we review the most popular approaches and propose a novel solution based on meta-programming and source code rewriting. The preliminary results of our experiments are very promising, although more studies are required to know to what extent this approach can improve the performance of real-life JavaScriptprograms.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Performance
Meta-programming
Rewriting
JavaScript
Macros
Compilers
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/135194
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/135194
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Applying Meta-Functions for Improving JavaScript Code PerformanceMedel, RicardoFerreyra, AlexisNavaro, NéstorRavera, EmanuelCiencias InformáticasPerformanceMeta-programmingRewritingJavaScriptMacrosCompilersIn recent years, the expansion of the World Wide Web, and web runtimes in particular, to all kind of devices has rendered the Java- Script performance in a hot topic. Several approaches to improve the performance of JavaScript applications have been tried by the industrial and research communities. In this paper we review the most popular approaches and propose a novel solution based on meta-programming and source code rewriting. The preliminary results of our experiments are very promising, although more studies are required to know to what extent this approach can improve the performance of real-life JavaScriptprograms.Sociedad Argentina de Informática e Investigación Operativa2018-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf15-34http://sedici.unlp.edu.ar/handle/10915/135194enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/43info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/reference/hdl/10915/66097info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:34:00Zoai:sedici.unlp.edu.ar:10915/135194Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:34:00.963SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Applying Meta-Functions for Improving JavaScript Code Performance
title Applying Meta-Functions for Improving JavaScript Code Performance
spellingShingle Applying Meta-Functions for Improving JavaScript Code Performance
Medel, Ricardo
Ciencias Informáticas
Performance
Meta-programming
Rewriting
JavaScript
Macros
Compilers
title_short Applying Meta-Functions for Improving JavaScript Code Performance
title_full Applying Meta-Functions for Improving JavaScript Code Performance
title_fullStr Applying Meta-Functions for Improving JavaScript Code Performance
title_full_unstemmed Applying Meta-Functions for Improving JavaScript Code Performance
title_sort Applying Meta-Functions for Improving JavaScript Code Performance
dc.creator.none.fl_str_mv Medel, Ricardo
Ferreyra, Alexis
Navaro, Néstor
Ravera, Emanuel
author Medel, Ricardo
author_facet Medel, Ricardo
Ferreyra, Alexis
Navaro, Néstor
Ravera, Emanuel
author_role author
author2 Ferreyra, Alexis
Navaro, Néstor
Ravera, Emanuel
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Performance
Meta-programming
Rewriting
JavaScript
Macros
Compilers
topic Ciencias Informáticas
Performance
Meta-programming
Rewriting
JavaScript
Macros
Compilers
dc.description.none.fl_txt_mv In recent years, the expansion of the World Wide Web, and web runtimes in particular, to all kind of devices has rendered the Java- Script performance in a hot topic. Several approaches to improve the performance of JavaScript applications have been tried by the industrial and research communities. In this paper we review the most popular approaches and propose a novel solution based on meta-programming and source code rewriting. The preliminary results of our experiments are very promising, although more studies are required to know to what extent this approach can improve the performance of real-life JavaScriptprograms.
Sociedad Argentina de Informática e Investigación Operativa
description In recent years, the expansion of the World Wide Web, and web runtimes in particular, to all kind of devices has rendered the Java- Script performance in a hot topic. Several approaches to improve the performance of JavaScript applications have been tried by the industrial and research communities. In this paper we review the most popular approaches and propose a novel solution based on meta-programming and source code rewriting. The preliminary results of our experiments are very promising, although more studies are required to know to what extent this approach can improve the performance of real-life JavaScriptprograms.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/135194
url http://sedici.unlp.edu.ar/handle/10915/135194
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/43
info:eu-repo/semantics/altIdentifier/issn/1514-6774
info:eu-repo/semantics/reference/hdl/10915/66097
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
15-34
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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