Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Developing Search Strategies for Detecting Relevant Experiments
Año:2009
Áreas de investigación
  • Inteligencia artificial,
  • Lenguaje de programación
Datos
Descripción
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.
Internacional
Si
JCR del ISI
Si
Título de la revista
EMPIRICAL SOFTWARE ENGINEERING
ISSN
1382-3256
Factor de impacto JCR
1,091
Información de impacto
Volumen
14
DOI
10.1007/s10664-008-9091-7
Número de revista
5
Desde la página
513
Hasta la página
539
Mes
SEPTIEMBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: Anna Grimán Padua (Universidad Simón Bolívar, Venezuela)
  • Autor: Oscar Dieste Tubio (UPM)
  • Autor: Natalia Juristo Juzgado (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ingeniería del Software
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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