Reviewing technical approaches for sharing and preservation of experimental data

Fonseca Carrera, Efrain Rodrigo; Dieste Tubio, Oscar; Juristo Juzgado, Natalia; Serral Asensio, Estefanía y Biffl, Stefan (2014). Reviewing technical approaches for sharing and preservation of experimental data. En: "International Symposium on Empirical Software Engineering and Measurement, ESEM '14", 18-19 Sep 2014, Turín, Italia. ISBN 978-1-4503-2774-9. p. 231.

Descripción

Título: Reviewing technical approaches for sharing and preservation of experimental data
Autor/es:
  • Fonseca Carrera, Efrain Rodrigo
  • Dieste Tubio, Oscar
  • Juristo Juzgado, Natalia
  • Serral Asensio, Estefanía
  • Biffl, Stefan
Tipo de Documento: Ponencia en Congreso o Jornada (Otro)
Título del Evento: International Symposium on Empirical Software Engineering and Measurement, ESEM '14
Fechas del Evento: 18-19 Sep 2014
Lugar del Evento: Turín, Italia
Título del Libro: Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
Fecha: 2014
ISBN: 978-1-4503-2774-9
Volumen: 1
Materias:
Palabras Clave Informales: Sharing; Preservation; Semantic integration
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Empirical Software Engineering (ESE) replication researchers need to store and manipulate experimental data for several purposes, in particular analysis and reporting. Current research needs call for sharing and preservation of experimental data as well. In a previous work, we analyzed Replication Data Management (RDM) needs. A novel concept, called Experimental Ecosystem, was proposed to solve current deficiencies in RDMapproaches. The empirical ecosystem provides replication researchers with a common framework that integrates transparently local heterogeneous data sources. A typical situation where the Empirical Ecosystem is applicable, is when several members of a research group, or several research groups collaborating together, need to share and access each other experimental results. However, to be able to apply the Empirical Ecosystem concept and deliver all promised benefits, it is necessary to analyze the software architectures and tools that can properly support it.

Más información

ID de Registro: 36838
Identificador DC: http://oa.upm.es/36838/
Identificador OAI: oai:oa.upm.es:36838
URL Oficial: http://dl.acm.org/citation.cfm?id=2652600
Depositado por: Memoria Investigacion
Depositado el: 29 Sep 2015 07:34
Ultima Modificación: 15 Nov 2017 16:15
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