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 enviada
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It is di cult to maintain legacy Fortran programs that use outdated programming constructs, especially when this maintenance requires a detailed understanding of the code (e.g., for parallelization).\nInitially, we want to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)
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/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/3478

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network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
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Legacy SystemsMetricsSOFTWARE ENGINEERINGSoftwareIt is di cult to maintain legacy Fortran programs that use outdated programming constructs, especially when this maintenance requires a detailed understanding of the code (e.g., for parallelization).\nInitially, we want to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)2012-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/3478enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-04T09:43:50Zoai:digital.cic.gba.gob.ar:11746/3478Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-04 09:43:50.45CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
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).\nInitially, 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)
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).\nInitially, 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
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info:eu-repo/semantics/submittedVersion
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info:ar-repo/semantics/documentoDeConferencia
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dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/3478
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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/4.0/
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instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
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collection CIC Digital (CICBA)
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repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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