Reviewing technical approaches for sharing and preservation of experimental data
Data(s) |
2014
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Idioma(s) |
eng |
Publicador |
E.T.S. de Ingenieros Informáticos (UPM) |
Relação |
http://oa.upm.es/36838/1/36838_INVE_MEM_2014_195484.pdf http://dl.acm.org/citation.cfm?id=2652600 |
Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
Fonte |
Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement | International Symposium on Empirical Software Engineering and Measurement, ESEM '14 | 18-19 Sep 2014 | Turín, Italia |
Palavras-Chave | #Informática |
Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada PeerReviewed |