Descripción
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Context: 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 RDM approaches. 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. | |
Internacional
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Si |
Nombre congreso
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ESEM 2014: International Symposium on Software Engineering and Metrics |
Tipo de participación
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960 |
Lugar del congreso
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Torino, Italy |
Revisores
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Si |
ISBN o ISSN
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978-1-4503-2774-9 |
DOI
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10.1145/2652524.2652569 |
Fecha inicio congreso
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18/09/2014 |
Fecha fin congreso
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19/09/2014 |
Desde la página
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221 |
Hasta la página
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224 |
Título de las actas
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Proceedings of the 8th International Symposium on Software Engineering and Metrics (ESEM 2014) |