Applying meta-functions for improving JavaScript code performance

Autores
Medel, Ricardo; Ferreyra, Alexis; Navaro, Néstor; Ravera, Emanuel
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
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 JavaScript 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 JavaScript programs.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
performance
meta-programming
rewriting
JavaScript
compiler
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/66097

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spelling Applying meta-functions for improving JavaScript code performanceMedel, RicardoFerreyra, AlexisNavaro, NéstorRavera, EmanuelCiencias Informáticasperformancemeta-programmingrewritingJavaScriptcompilerIn recent years, the expansion of the World Wide Web, and web runtimes in particular, to all kind of devices has rendered the JavaScript 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 JavaScript programs.Sociedad Argentina de Informática e Investigación Operativa2017-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf32-38http://sedici.unlp.edu.ar/handle/10915/66097enginfo:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/ASSE/asse-05.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7593info:eu-repo/semantics/reference/hdl/10915/135194info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:09:50Zoai:sedici.unlp.edu.ar:10915/66097Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:09:50.38SEDICI (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
compiler
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
compiler
topic Ciencias Informáticas
performance
meta-programming
rewriting
JavaScript
compiler
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 JavaScript 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 JavaScript programs.
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 JavaScript 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 JavaScript programs.
publishDate 2017
dc.date.none.fl_str_mv 2017-09
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