Reviewing technical approaches for sharing and preservation of experimental data

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

Description

Title: Reviewing technical approaches for sharing and preservation of experimental data
Author/s:
  • Fonseca Carrera, Efrain Rodrigo
  • Dieste Tubio, Oscar
  • Juristo Juzgado, Natalia
  • Serral Asensio, Estefanía
  • Biffl, Stefan
Item Type: Presentation at Congress or Conference (Other)
Event Title: International Symposium on Empirical Software Engineering and Measurement, ESEM '14
Event Dates: 18-19 Sep 2014
Event Location: Turín, Italia
Title of Book: Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
Date: 2014
ISBN: 978-1-4503-2774-9
Volume: 1
Subjects:
Freetext Keywords: Sharing; Preservation; Semantic integration
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 36838
DC Identifier: http://oa.upm.es/36838/
OAI Identifier: oai:oa.upm.es:36838
Official URL: http://dl.acm.org/citation.cfm?id=2652600
Deposited by: Memoria Investigacion
Deposited on: 29 Sep 2015 07:34
Last Modified: 15 Nov 2017 16:15
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