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

Juristo Juzgado, Natalia and Dieste Tubio, Oscar and Biffl, Stefan and Serral Asensio, Estefanía and Winkler, Dietmar and Fernández, Nelly Condori (2013). Replication Data Management,needs and solutions: an initial evaluation of conceptual approaches for integrating heterogeneous replication study data. In: "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.

Description

Title: Replication Data Management,needs and solutions: an initial evaluation of conceptual approaches for integrating heterogeneous replication study data
Author/s:
  • Juristo Juzgado, Natalia
  • Dieste Tubio, Oscar
  • Biffl, Stefan
  • Serral Asensio, Estefanía
  • Winkler, Dietmar
  • Fernández, Nelly Condori
Item Type: Presentation at Congress or Conference (Article)
Event Title: 7th International Symposium on Empirical Software Engineering and Measurement,
Event Dates: 10-11 Oct 2013
Event Location: Baltimore, Mareyland (USA)
Title of Book: 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement,
Date: 2013
ISBN: 978-0-7695-5056-5
Subjects:
Freetext Keywords: Infrastructure for conducting empirical studies - Replication of empirical studies - Software knowledge management
Faculty: Facultad de Informática (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 26364
DC Identifier: http://oa.upm.es/26364/
OAI Identifier: oai:oa.upm.es:26364
DOI: 10.1109/ESEM.2013.60
Official URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6681322
Deposited by: Memoria Investigacion
Deposited on: 10 Jun 2014 07:38
Last Modified: 04 Dec 2017 11:22
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