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ORCID: https://orcid.org/0000-0001-7129-9335, Dieste Tubio, Óscar
ORCID: https://orcid.org/0000-0002-3060-7853, Juristo Juzgado, Natalia
ORCID: https://orcid.org/0000-0002-2465-7141, Serral Asensio, Estefanía and 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.
| Título: | Reviewing technical approaches for sharing and preservation of experimental data |
|---|---|
| Autor/es: |
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| 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: | |
| ODS: | |
| 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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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.
| ID de Registro: | 36838 |
|---|---|
| Identificador DC: | https://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: | 19 Feb 2025 12:39 |
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