An Empirical Evaluation of a Historical Data Warehouse
- Autores
- Neil, Carlos; De Vincenzi, Marcelo; Pons, Claudia
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Computing is widely regarded as a scientific discipline that emphasizes on three different perspectives: mathematics, present in the development of formalisms, theories and algorithms; engineering, linked to the goal of making things better, faster, smaller, cheaper and, finally, the science that can be defined as the activity to develop general and predictive theories that allow these theories to be evaluated and tested. However, research in software engineering rarely describes explicitly its research paradigms and standards to assess the quality of its results. Due to a growing understanding in the computer science community that empirical studies are needed to improve processes, methods and tools for the development and maintenance of software, an emerging area in software engineering is developed: the Empirical Software Engineering. This subarea is one step down in the claims of scientificity but it aims to address this shortcoming. The objective of this work is to conduct an empirical corroboration for developing a method of a Historical Data Warehouse, the temporal data model and the associated query interface.
Sociedad Argentina de Informática e Investigación Operativa (SADIO) - Materia
-
Ciencias Informáticas
Graphical user interfaces (GUI)
Data warehouse and repository
empirical software engineering
historical data warehouse
design method - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nd/3.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/76485
Ver los metadatos del registro completo
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An Empirical Evaluation of a Historical Data WarehouseNeil, CarlosDe Vincenzi, MarceloPons, ClaudiaCiencias InformáticasGraphical user interfaces (GUI)Data warehouse and repositoryempirical software engineeringhistorical data warehousedesign methodComputing is widely regarded as a scientific discipline that emphasizes on three different perspectives: mathematics, present in the development of formalisms, theories and algorithms; engineering, linked to the goal of making things better, faster, smaller, cheaper and, finally, the science that can be defined as the activity to develop general and predictive theories that allow these theories to be evaluated and tested. However, research in software engineering rarely describes explicitly its research paradigms and standards to assess the quality of its results. Due to a growing understanding in the computer science community that empirical studies are needed to improve processes, methods and tools for the development and maintenance of software, an emerging area in software engineering is developed: the Empirical Software Engineering. This subarea is one step down in the claims of scientificity but it aims to address this shortcoming. The objective of this work is to conduct an empirical corroboration for developing a method of a Historical Data Warehouse, the temporal data model and the associated query interface.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2013-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf154-167http://sedici.unlp.edu.ar/handle/10915/76485enginfo:eu-repo/semantics/altIdentifier/url/http://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/ASSE/12.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2792info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nd/3.0/Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:05:26Zoai:sedici.unlp.edu.ar:10915/76485Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:05:26.217SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
An Empirical Evaluation of a Historical Data Warehouse |
title |
An Empirical Evaluation of a Historical Data Warehouse |
spellingShingle |
An Empirical Evaluation of a Historical Data Warehouse Neil, Carlos Ciencias Informáticas Graphical user interfaces (GUI) Data warehouse and repository empirical software engineering historical data warehouse design method |
title_short |
An Empirical Evaluation of a Historical Data Warehouse |
title_full |
An Empirical Evaluation of a Historical Data Warehouse |
title_fullStr |
An Empirical Evaluation of a Historical Data Warehouse |
title_full_unstemmed |
An Empirical Evaluation of a Historical Data Warehouse |
title_sort |
An Empirical Evaluation of a Historical Data Warehouse |
dc.creator.none.fl_str_mv |
Neil, Carlos De Vincenzi, Marcelo Pons, Claudia |
author |
Neil, Carlos |
author_facet |
Neil, Carlos De Vincenzi, Marcelo Pons, Claudia |
author_role |
author |
author2 |
De Vincenzi, Marcelo Pons, Claudia |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Graphical user interfaces (GUI) Data warehouse and repository empirical software engineering historical data warehouse design method |
topic |
Ciencias Informáticas Graphical user interfaces (GUI) Data warehouse and repository empirical software engineering historical data warehouse design method |
dc.description.none.fl_txt_mv |
Computing is widely regarded as a scientific discipline that emphasizes on three different perspectives: mathematics, present in the development of formalisms, theories and algorithms; engineering, linked to the goal of making things better, faster, smaller, cheaper and, finally, the science that can be defined as the activity to develop general and predictive theories that allow these theories to be evaluated and tested. However, research in software engineering rarely describes explicitly its research paradigms and standards to assess the quality of its results. Due to a growing understanding in the computer science community that empirical studies are needed to improve processes, methods and tools for the development and maintenance of software, an emerging area in software engineering is developed: the Empirical Software Engineering. This subarea is one step down in the claims of scientificity but it aims to address this shortcoming. The objective of this work is to conduct an empirical corroboration for developing a method of a Historical Data Warehouse, the temporal data model and the associated query interface. Sociedad Argentina de Informática e Investigación Operativa (SADIO) |
description |
Computing is widely regarded as a scientific discipline that emphasizes on three different perspectives: mathematics, present in the development of formalisms, theories and algorithms; engineering, linked to the goal of making things better, faster, smaller, cheaper and, finally, the science that can be defined as the activity to develop general and predictive theories that allow these theories to be evaluated and tested. However, research in software engineering rarely describes explicitly its research paradigms and standards to assess the quality of its results. Due to a growing understanding in the computer science community that empirical studies are needed to improve processes, methods and tools for the development and maintenance of software, an emerging area in software engineering is developed: the Empirical Software Engineering. This subarea is one step down in the claims of scientificity but it aims to address this shortcoming. The objective of this work is to conduct an empirical corroboration for developing a method of a Historical Data Warehouse, the temporal data model and the associated query interface. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-09 |
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 |
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http://sedici.unlp.edu.ar/handle/10915/76485 |
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dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nd/3.0/ Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nd/3.0/ Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0) |
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application/pdf 154-167 |
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