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
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/76485

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spelling 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
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154-167
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