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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
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.
||Reviewing technical approaches for sharing and preservation of experimental data
Fonseca Carrera, Efrain Rodrigo
Dieste Tubio, Oscar
Juristo Juzgado, Natalia
Serral Asensio, Estefanía
Presentation at Congress or Conference
||International Symposium on Empirical Software Engineering and Measurement, ESEM '14
||18-19 Sep 2014
|Title of Book:
||Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
||Sharing; Preservation; Semantic integration
||E.T.S. de Ingenieros Informáticos (UPM)
||Lenguajes y Sistemas Informáticos e Ingeniería del Software
|Creative Commons Licenses:
||Recognition - No derivative works - Non commercial
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.
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