• DocumentCode
    1575640
  • Title

    A Visual Text Mining approach for Systematic Reviews

  • Author

    Malheiros, V. ; Hohn, E. ; Pinho, Rômulo ; Mendonca, Manoel

  • Author_Institution
    USP, Sao Carlos
  • fYear
    2007
  • Firstpage
    245
  • Lastpage
    254
  • Abstract
    The software engineering research community has been adopting systematic reviews as an unbiased and fair way to assess a research topic. Despite encouraging early results, a systematic review process can be time consuming and hard to conduct. Thus, tools that help on its planning or execution are needed. This article suggests the use of visual text mining (VTM) to aid systematic reviews. A feasibility study was conducted comparing the proposed approach with a manual process. We observed that VTM can contribute to systematic review and we propose a new strategy called VTM-Based systematic review.
  • Keywords
    data mining; document handling; research topic; software engineering; systematic reviews; visual text mining approach; Costs; Decision making; Humans; Programming; Software development management; Software engineering; Software measurement; Stress; Technology management; Text mining;
  • 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.2007.21
  • Filename
    4343752