Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Developing Search Strategies for Detecting Relevant Experiments
Year:2009
Research Areas
  • Artificial intelligence,
  • Programming language
Information
Abstract
Our goal is to analyze the optimality of search strategies for use in systematic reviews of software engineering experiments. Studies retrieval is an important problem in any evidence-based discipline. This question has not been examined for evidence-based software engineering as yet. We have run several searches exercising different terms denoting experiments to evaluate their recall and precision. Based on our evaluation, we propose using a high recall strategy when there are plenty of resources or the results need to be exhaustive. For any other case, we propose optimal, or even acceptable, search strategies. As a secondary goal, we have analysed trends and weaknesses in terminology used in articles reporting software engineering experiments. We have found that it is impossible for a search strategy to retrieve 100% of the experiments of interest (as happens in other experimental disciplines), because of the shortage of reporting standards in the community.
International
Si
JCR
Si
Title
EMPIRICAL SOFTWARE ENGINEERING
ISBN
1382-3256
Impact factor JCR
1,091
Impact info
Volume
14
10.1007/s10664-008-9091-7
Journal number
5
From page
513
To page
539
Month
SEPTIEMBRE
Ranking
Participants
  • Participante: Anna Grimán Padua (Universidad Simón Bolívar, Venezuela)
  • Autor: Oscar Dieste Tubio (UPM)
  • Autor: Natalia Juristo Juzgado (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ingeniería del Software
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)