A systematic mapping study on testing technique experiments: has the situation changed since 2000?

González, Jorge E.; Juristo Juzgado, Natalia y Vegas Hernández, Sira (2014). A systematic mapping study on testing technique experiments: has the situation changed since 2000?. En: "8th International Symposium on Software Engineering and Metrics (ESEM 2014)", 18-19 Sep 2014, Torino, Italy. ISBN 978-1-4503-2774-9. pp. 221-224.

Descripción

Título: A systematic mapping study on testing technique experiments: has the situation changed since 2000?
Autor/es:
  • González, Jorge E.
  • Juristo Juzgado, Natalia
  • Vegas Hernández, Sira
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 8th International Symposium on Software Engineering and Metrics (ESEM 2014)
Fechas del Evento: 18-19 Sep 2014
Lugar del Evento: Torino, Italy
Título del Libro: ESEM '14 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:
Palabras Clave Informales: Mapping study; Software testing techniques; Testing experiments
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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Resumen

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.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaTIN 2011-23216Sin especificarSin especificarSin especificar

Más información

ID de Registro: 37552
Identificador DC: http://oa.upm.es/37552/
Identificador OAI: oai:oa.upm.es:37552
URL Oficial: http://dl.acm.org/citation.cfm?id=2652569
Depositado por: Memoria Investigacion
Depositado el: 17 Mar 2016 10:51
Ultima Modificación: 14 Nov 2017 09:59
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