• DocumentCode
    1575593
  • Title

    Developing Search Strategies for Detecting Relevant Experiments for Systematic Reviews

  • Author

    Dieste, Oscar ; Padua, Ann Grimán

  • Author_Institution
    Univ. Polytech. de Madrid, Madrid
  • fYear
    2007
  • Firstpage
    215
  • Lastpage
    224
  • Abstract
    Information retrieval is an important problem in any evidence-based discipline. Although evidence- based software engineering (EBSE) is not immune to this fact, this question has not been examined at length. The goal of this paper is to analyse the optimality of search strategies for use in systematic reviews. We tried out 29 search strategies using different terms and combinations of terms. We evaluated their sensitivity and precision with a view to finding an optimum strategy. From this study of search strategies we were able to analyse trends and weaknesses in terminology use in articles reporting experiments.
  • Keywords
    information retrieval; query formulation; software engineering; evidence- based software engineering; evidence-based discipline; information retrieval; search strategies; systematic reviews; Abstracts; Costs; Databases; Gold; Immune system; Information retrieval; Software engineering; Software measurement; Standardization; Terminology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement, 2007. ESEM 2007. First International Symposium on
  • Conference_Location
    Madrid
  • ISSN
    1938-6451
  • Print_ISBN
    978-0-7695-2886-1
  • Type

    conf

  • DOI
    10.1109/ESEM.2007.19
  • Filename
    4343749