Replication Data Management,needs and solutions: an initial evaluation of conceptual approaches for integrating heterogeneous replication study data

Juristo Juzgado, Natalia; Dieste Tubio, Oscar; Biffl, Stefan; Serral Asensio, Estefanía; Winkler, Dietmar y Fernández, Nelly Condori (2013). Replication Data Management,needs and solutions: an initial evaluation of conceptual approaches for integrating heterogeneous replication study data. En: "7th International Symposium on Empirical Software Engineering and Measurement,", 10-11 Oct 2013, Baltimore, Mareyland (USA). ISBN 978-0-7695-5056-5. pp. 233-242. https://doi.org/10.1109/ESEM.2013.60.

Descripción

Título: Replication Data Management,needs and solutions: an initial evaluation of conceptual approaches for integrating heterogeneous replication study data
Autor/es:
  • Juristo Juzgado, Natalia
  • Dieste Tubio, Oscar
  • Biffl, Stefan
  • Serral Asensio, Estefanía
  • Winkler, Dietmar
  • Fernández, Nelly Condori
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 7th International Symposium on Empirical Software Engineering and Measurement,
Fechas del Evento: 10-11 Oct 2013
Lugar del Evento: Baltimore, Mareyland (USA)
Título del Libro: 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement,
Fecha: 2013
ISBN: 978-0-7695-5056-5
Materias:
Palabras Clave Informales: Infrastructure for conducting empirical studies - Replication of empirical studies - Software knowledge management
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Replication Data Management (RDM) aims at enabling the use of data collections from several iterations of an experiment. However, there are several major challenges to RDM from integrating data models and data from empirical study infrastructures that were not designed to cooperate, e.g., data model variation of local data sources. [Objective] In this paper we analyze RDM needs and evaluate conceptual RDM approaches to support replication researchers. [Method] We adapted the ATAM evaluation process to (a) analyze RDM use cases and needs of empirical replication study research groups and (b) compare three conceptual approaches to address these RDM needs: central data repositories with a fixed data model, heterogeneous local repositories, and an empirical ecosystem. [Results] While the central and local approaches have major issues that are hard to resolve in practice, the empirical ecosystem allows bridging current gaps in RDM from heterogeneous data sources. [Conclusions] The empirical ecosystem approach should be explored in diverse empirical environments.

Más información

ID de Registro: 26364
Identificador DC: http://oa.upm.es/26364/
Identificador OAI: oai:oa.upm.es:26364
Identificador DOI: 10.1109/ESEM.2013.60
URL Oficial: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6681322
Depositado por: Memoria Investigacion
Depositado el: 10 Jun 2014 07:38
Ultima Modificación: 04 Dic 2017 11:22
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