A context-based perspective on frost analysis in reuse-oriented big data-system developments

Autores
Bucella, Agustina; Cechich, Alejandra; Saurin, Federico; Montenegro, Ayelen; Rodriguez, Andrea Betiana; Muñoz, Angel Rafael
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The large amount of available data, generated every second via sensors, social networks, organizations, and so on, has generated new lines of research that involve novel methods, techniques, resources, and/or technologies. The development of big data systems (BDSs) can be approached from different perspectives, all of them useful, depending on the objectives pursued. In particular, in this work, we address BDSs in the area of software engineering, contributing to the generation of novel methodologies and techniques for software reuse. In this article, we propose a methodology to develop reusable BDSs by mirroring activities from software product line engineering. This means that the process of building BDSs is approached by analyzing the variety of domain features and modeling them as a family of related assets. The contextual perspective of the proposal, along with its supporting tool, is introduced through a case study in the agrometeorology domain. The characterization of variables for frost analysis exemplifies the importance of identifying variety, as well as the possibility of reusing previous analyses adjusted to the profile of each case. In addition to showing interesting findings from the case, we also exemplify our concept of context variety, which is a core element in modeling reusable BDSs.
EEA Alto Valle
Fil: Bucella, Agustina. Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Sistemas. Grupo de Investigación en Ingeniería de Software del Comahue (GIISCo); Argentina
Fil: Cechich, Alejandra. Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Sistemas. Grupo de Investigación en Ingeniería de Software del Comahue (GIISCo); Argentina
Fil: Saurin, Federico. . Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Sistemas. Grupo de Investigación en Ingeniería de Software del Comahue (GIISCo); Argentina
Fil: Montenegro, Ayelen. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Alto Valle; Argentina
Fil: Rodríguez, Andrea Betiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Alto Valle; Argentina
Fil: Muñoz, Ángel Rafael. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Alto Valle; Argentina
Fuente
Information 15 (11) : 661 (October 2024)
Materia
Macrodato
Desarrollo de Programas Informáticos
Procesamiento de Datos
Análisis de Datos
Helada
Agrometeorología
Big Data
Software Development
Data Processing
Data Analysis
Frost
Agrometeorology
Reusabilidad
Sistemas de Big Data
Identificación de Variedades
Dominio de la Agrometeorología
Reusability
Big Data Systems
Variety Identification
Agrometeorology Domain
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/23266
Acceder
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oai_identifier_str oai:localhost:20.500.12123/23266
network_acronym_str INTADig
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network_name_str INTA Digital (INTA)
spelling A context-based perspective on frost analysis in reuse-oriented big data-system developmentsBucella, AgustinaCechich, AlejandraSaurin, FedericoMontenegro, AyelenRodriguez, Andrea BetianaMuñoz, Angel RafaelMacrodatoDesarrollo de Programas InformáticosProcesamiento de DatosAnálisis de DatosHeladaAgrometeorologíaBig DataSoftware DevelopmentData ProcessingData AnalysisFrostAgrometeorologyReusabilidadSistemas de Big DataIdentificación de VariedadesDominio de la AgrometeorologíaReusabilityBig Data SystemsVariety IdentificationAgrometeorology DomainThe large amount of available data, generated every second via sensors, social networks, organizations, and so on, has generated new lines of research that involve novel methods, techniques, resources, and/or technologies. The development of big data systems (BDSs) can be approached from different perspectives, all of them useful, depending on the objectives pursued. In particular, in this work, we address BDSs in the area of software engineering, contributing to the generation of novel methodologies and techniques for software reuse. In this article, we propose a methodology to develop reusable BDSs by mirroring activities from software product line engineering. This means that the process of building BDSs is approached by analyzing the variety of domain features and modeling them as a family of related assets. The contextual perspective of the proposal, along with its supporting tool, is introduced through a case study in the agrometeorology domain. The characterization of variables for frost analysis exemplifies the importance of identifying variety, as well as the possibility of reusing previous analyses adjusted to the profile of each case. In addition to showing interesting findings from the case, we also exemplify our concept of context variety, which is a core element in modeling reusable BDSs.EEA Alto ValleFil: Bucella, Agustina. Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Sistemas. Grupo de Investigación en Ingeniería de Software del Comahue (GIISCo); ArgentinaFil: Cechich, Alejandra. Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Sistemas. Grupo de Investigación en Ingeniería de Software del Comahue (GIISCo); ArgentinaFil: Saurin, Federico. . Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Sistemas. Grupo de Investigación en Ingeniería de Software del Comahue (GIISCo); ArgentinaFil: Montenegro, Ayelen. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Alto Valle; ArgentinaFil: Rodríguez, Andrea Betiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Alto Valle; ArgentinaFil: Muñoz, Ángel Rafael. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Alto Valle; ArgentinaMDPI2025-08-01T10:42:12Z2025-08-01T10:42:12Z2024-10-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/23266https://www.mdpi.com/2078-2489/15/11/6612078-2489https://doi.org/10.3390/info15110661Information 15 (11) : 661 (October 2024)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:19:40Zoai:localhost:20.500.12123/23266instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:19:40.304INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv A context-based perspective on frost analysis in reuse-oriented big data-system developments
title A context-based perspective on frost analysis in reuse-oriented big data-system developments
spellingShingle A context-based perspective on frost analysis in reuse-oriented big data-system developments
Bucella, Agustina
Macrodato
Desarrollo de Programas Informáticos
Procesamiento de Datos
Análisis de Datos
Helada
Agrometeorología
Big Data
Software Development
Data Processing
Data Analysis
Frost
Agrometeorology
Reusabilidad
Sistemas de Big Data
Identificación de Variedades
Dominio de la Agrometeorología
Reusability
Big Data Systems
Variety Identification
Agrometeorology Domain
title_short A context-based perspective on frost analysis in reuse-oriented big data-system developments
title_full A context-based perspective on frost analysis in reuse-oriented big data-system developments
title_fullStr A context-based perspective on frost analysis in reuse-oriented big data-system developments
title_full_unstemmed A context-based perspective on frost analysis in reuse-oriented big data-system developments
title_sort A context-based perspective on frost analysis in reuse-oriented big data-system developments
dc.creator.none.fl_str_mv Bucella, Agustina
Cechich, Alejandra
Saurin, Federico
Montenegro, Ayelen
Rodriguez, Andrea Betiana
Muñoz, Angel Rafael
author Bucella, Agustina
author_facet Bucella, Agustina
Cechich, Alejandra
Saurin, Federico
Montenegro, Ayelen
Rodriguez, Andrea Betiana
Muñoz, Angel Rafael
author_role author
author2 Cechich, Alejandra
Saurin, Federico
Montenegro, Ayelen
Rodriguez, Andrea Betiana
Muñoz, Angel Rafael
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Macrodato
Desarrollo de Programas Informáticos
Procesamiento de Datos
Análisis de Datos
Helada
Agrometeorología
Big Data
Software Development
Data Processing
Data Analysis
Frost
Agrometeorology
Reusabilidad
Sistemas de Big Data
Identificación de Variedades
Dominio de la Agrometeorología
Reusability
Big Data Systems
Variety Identification
Agrometeorology Domain
topic Macrodato
Desarrollo de Programas Informáticos
Procesamiento de Datos
Análisis de Datos
Helada
Agrometeorología
Big Data
Software Development
Data Processing
Data Analysis
Frost
Agrometeorology
Reusabilidad
Sistemas de Big Data
Identificación de Variedades
Dominio de la Agrometeorología
Reusability
Big Data Systems
Variety Identification
Agrometeorology Domain
dc.description.none.fl_txt_mv The large amount of available data, generated every second via sensors, social networks, organizations, and so on, has generated new lines of research that involve novel methods, techniques, resources, and/or technologies. The development of big data systems (BDSs) can be approached from different perspectives, all of them useful, depending on the objectives pursued. In particular, in this work, we address BDSs in the area of software engineering, contributing to the generation of novel methodologies and techniques for software reuse. In this article, we propose a methodology to develop reusable BDSs by mirroring activities from software product line engineering. This means that the process of building BDSs is approached by analyzing the variety of domain features and modeling them as a family of related assets. The contextual perspective of the proposal, along with its supporting tool, is introduced through a case study in the agrometeorology domain. The characterization of variables for frost analysis exemplifies the importance of identifying variety, as well as the possibility of reusing previous analyses adjusted to the profile of each case. In addition to showing interesting findings from the case, we also exemplify our concept of context variety, which is a core element in modeling reusable BDSs.
EEA Alto Valle
Fil: Bucella, Agustina. Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Sistemas. Grupo de Investigación en Ingeniería de Software del Comahue (GIISCo); Argentina
Fil: Cechich, Alejandra. Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Sistemas. Grupo de Investigación en Ingeniería de Software del Comahue (GIISCo); Argentina
Fil: Saurin, Federico. . Universidad Nacional del Comahue. Facultad de Informática. Departamento de Ingeniería de Sistemas. Grupo de Investigación en Ingeniería de Software del Comahue (GIISCo); Argentina
Fil: Montenegro, Ayelen. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Alto Valle; Argentina
Fil: Rodríguez, Andrea Betiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Alto Valle; Argentina
Fil: Muñoz, Ángel Rafael. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Alto Valle; Argentina
description The large amount of available data, generated every second via sensors, social networks, organizations, and so on, has generated new lines of research that involve novel methods, techniques, resources, and/or technologies. The development of big data systems (BDSs) can be approached from different perspectives, all of them useful, depending on the objectives pursued. In particular, in this work, we address BDSs in the area of software engineering, contributing to the generation of novel methodologies and techniques for software reuse. In this article, we propose a methodology to develop reusable BDSs by mirroring activities from software product line engineering. This means that the process of building BDSs is approached by analyzing the variety of domain features and modeling them as a family of related assets. The contextual perspective of the proposal, along with its supporting tool, is introduced through a case study in the agrometeorology domain. The characterization of variables for frost analysis exemplifies the importance of identifying variety, as well as the possibility of reusing previous analyses adjusted to the profile of each case. In addition to showing interesting findings from the case, we also exemplify our concept of context variety, which is a core element in modeling reusable BDSs.
publishDate 2024
dc.date.none.fl_str_mv 2024-10-22
2025-08-01T10:42:12Z
2025-08-01T10:42:12Z
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/20.500.12123/23266
https://www.mdpi.com/2078-2489/15/11/661
2078-2489
https://doi.org/10.3390/info15110661
url http://hdl.handle.net/20.500.12123/23266
https://www.mdpi.com/2078-2489/15/11/661
https://doi.org/10.3390/info15110661
identifier_str_mv 2078-2489
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/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Information 15 (11) : 661 (October 2024)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.982451

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