Legacy fortran software: applying syntactic metrics to global climate models

Autores
Méndez, Mariano; Overbey, Jeffrey; Tinetti, Fernando Gustavo
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
It is di cult to maintain legacy Fortran programs that use outdated programming constructs, especially when this maintenance requires a detailed understanding of the code (e.g., for parallelization). Initially, we want to gauge the prevalence of such constructs by applying straightforward syntactic metrics to some well-known global climate models. Detailed information regarding les, subroutines, and loops has been collected from each model by applying a lightweight source code static analysis based on ASTs (Abstract Syntax Tree) for a posterior analysis. Modernizing Fortran Legacy programs is still a challenge. Our objective has been to collect relevant information on these programs to help us approach parallelizing legacy scienti c programs in a shared memory environment (e.g. using multi-core processors). The data we collected indicate that old Fortran features are still being used on these models in these days. Furthermore, we propose some metrics to be used as a guide to determine how many changes a program needs in order to be modernized, optimized, and eventually, parallelized.
Eje: Workshop Ingeniería de software (WIS)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Source Code Modernization
HPC
Legacy Systems
Fortran Legacy Systems
Metrics
SOFTWARE ENGINEERING
Software
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23718
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/23718
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Legacy fortran software: applying syntactic metrics to global climate modelsMéndez, MarianoOverbey, JeffreyTinetti, Fernando GustavoCiencias InformáticasSource Code ModernizationHPCLegacy SystemsFortran Legacy SystemsMetricsSOFTWARE ENGINEERINGSoftwareIt is di cult to maintain legacy Fortran programs that use outdated programming constructs, especially when this maintenance requires a detailed understanding of the code (e.g., for parallelization). Initially, we want to gauge the prevalence of such constructs by applying straightforward syntactic metrics to some well-known global climate models. Detailed information regarding les, subroutines, and loops has been collected from each model by applying a lightweight source code static analysis based on ASTs (Abstract Syntax Tree) for a posterior analysis. Modernizing Fortran Legacy programs is still a challenge. Our objective has been to collect relevant information on these programs to help us approach parallelizing legacy scienti c programs in a shared memory environment (e.g. using multi-core processors). The data we collected indicate that old Fortran features are still being used on these models in these days. Furthermore, we propose some metrics to be used as a guide to determine how many changes a program needs in order to be modernized, optimized, and eventually, parallelized.Eje: Workshop Ingeniería de software (WIS)Red de Universidades con Carreras en Informática (RedUNCI)2012-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23718enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:28:21Zoai:sedici.unlp.edu.ar:10915/23718Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:28:21.322SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Legacy fortran software: applying syntactic metrics to global climate models
title Legacy fortran software: applying syntactic metrics to global climate models
spellingShingle Legacy fortran software: applying syntactic metrics to global climate models
Méndez, Mariano
Ciencias Informáticas
Source Code Modernization
HPC
Legacy Systems
Fortran Legacy Systems
Metrics
SOFTWARE ENGINEERING
Software
title_short Legacy fortran software: applying syntactic metrics to global climate models
title_full Legacy fortran software: applying syntactic metrics to global climate models
title_fullStr Legacy fortran software: applying syntactic metrics to global climate models
title_full_unstemmed Legacy fortran software: applying syntactic metrics to global climate models
title_sort Legacy fortran software: applying syntactic metrics to global climate models
dc.creator.none.fl_str_mv Méndez, Mariano
Overbey, Jeffrey
Tinetti, Fernando Gustavo
author Méndez, Mariano
author_facet Méndez, Mariano
Overbey, Jeffrey
Tinetti, Fernando Gustavo
author_role author
author2 Overbey, Jeffrey
Tinetti, Fernando Gustavo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Source Code Modernization
HPC
Legacy Systems
Fortran Legacy Systems
Metrics
SOFTWARE ENGINEERING
Software
topic Ciencias Informáticas
Source Code Modernization
HPC
Legacy Systems
Fortran Legacy Systems
Metrics
SOFTWARE ENGINEERING
Software
dc.description.none.fl_txt_mv It is di cult to maintain legacy Fortran programs that use outdated programming constructs, especially when this maintenance requires a detailed understanding of the code (e.g., for parallelization). Initially, we want to gauge the prevalence of such constructs by applying straightforward syntactic metrics to some well-known global climate models. Detailed information regarding les, subroutines, and loops has been collected from each model by applying a lightweight source code static analysis based on ASTs (Abstract Syntax Tree) for a posterior analysis. Modernizing Fortran Legacy programs is still a challenge. Our objective has been to collect relevant information on these programs to help us approach parallelizing legacy scienti c programs in a shared memory environment (e.g. using multi-core processors). The data we collected indicate that old Fortran features are still being used on these models in these days. Furthermore, we propose some metrics to be used as a guide to determine how many changes a program needs in order to be modernized, optimized, and eventually, parallelized.
Eje: Workshop Ingeniería de software (WIS)
Red de Universidades con Carreras en Informática (RedUNCI)
description It is di cult to maintain legacy Fortran programs that use outdated programming constructs, especially when this maintenance requires a detailed understanding of the code (e.g., for parallelization). Initially, we want to gauge the prevalence of such constructs by applying straightforward syntactic metrics to some well-known global climate models. Detailed information regarding les, subroutines, and loops has been collected from each model by applying a lightweight source code static analysis based on ASTs (Abstract Syntax Tree) for a posterior analysis. Modernizing Fortran Legacy programs is still a challenge. Our objective has been to collect relevant information on these programs to help us approach parallelizing legacy scienti c programs in a shared memory environment (e.g. using multi-core processors). The data we collected indicate that old Fortran features are still being used on these models in these days. Furthermore, we propose some metrics to be used as a guide to determine how many changes a program needs in order to be modernized, optimized, and eventually, parallelized.
publishDate 2012
dc.date.none.fl_str_mv 2012-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/23718
url http://sedici.unlp.edu.ar/handle/10915/23718
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
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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