An Empirical Evaluation of a Historical Data Warehouse

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 ca...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Neil, Carlos, De Vincenzi, Marcelo, Pons, Claudia
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
Graphical user interfaces (GUI)
Data warehouse and repository
empirical software engineering
historical data warehouse
design method
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/76485
http://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/ASSE/12.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-76485
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Graphical user interfaces (GUI)
Data warehouse and repository
empirical software engineering
historical data warehouse
design method
spellingShingle Ciencias Informáticas
Graphical user interfaces (GUI)
Data warehouse and repository
empirical software engineering
historical data warehouse
design method
Neil, Carlos
De Vincenzi, Marcelo
Pons, Claudia
An Empirical Evaluation of a Historical Data Warehouse
topic_facet Ciencias Informáticas
Graphical user interfaces (GUI)
Data warehouse and repository
empirical software engineering
historical data warehouse
design method
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.
format Objeto de conferencia
Objeto de conferencia
author Neil, Carlos
De Vincenzi, Marcelo
Pons, Claudia
author_facet Neil, Carlos
De Vincenzi, Marcelo
Pons, Claudia
author_sort Neil, Carlos
title An Empirical Evaluation of a Historical Data Warehouse
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 empirical evaluation of a historical data warehouse
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/76485
http://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/ASSE/12.pdf
work_keys_str_mv AT neilcarlos anempiricalevaluationofahistoricaldatawarehouse
AT devincenzimarcelo anempiricalevaluationofahistoricaldatawarehouse
AT ponsclaudia anempiricalevaluationofahistoricaldatawarehouse
AT neilcarlos empiricalevaluationofahistoricaldatawarehouse
AT devincenzimarcelo empiricalevaluationofahistoricaldatawarehouse
AT ponsclaudia empiricalevaluationofahistoricaldatawarehouse
bdutipo_str Repositorios
_version_ 1764820484197711877

Ejemplares similares