• DocumentCode
    2835655
  • Title

    Automatic Results Identification in Software Engineering Papers. Is it Possible?

  • Author

    Torres, José Alberto S ; Cruzes, Daniela S. ; Salvador, Laís Do Nascimento

  • Author_Institution
    Regional Center of Telematics, DPRF, Salvador, Brazil
  • fYear
    2012
  • fDate
    18-21 June 2012
  • Firstpage
    108
  • Lastpage
    112
  • Abstract
    This paper provides an analysis of the main methods for sentence classification in scientific papers and evaluates the feasibility of this technique in unstructured papers in Software Engineering area, in order to automatically find the study results in this area. Tests conducted with the existing methods using unstructured Test Software papers showed results far below those reported by the authors with input sets composed by structured health papers. Therefore, there is a need for new approaches to identify results in unstructured papers.
  • Keywords
    classification; medical information systems; software engineering; automatic results identification; scientific papers; sentence classification; software engineering papers; structured health papers; unstructured papers; unstructured test software papers; Abstracts; Classification algorithms; Context; Software; Software algorithms; Software engineering; Systematics; Information Retrieval; Scientific Paper Analisys; Systematic Review;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Its Applications (ICCSA), 2012 12th International Conference on
  • Conference_Location
    Salvador
  • Print_ISBN
    978-1-4673-1691-0
  • Type

    conf

  • DOI
    10.1109/ICCSA.2012.27
  • Filename
    6257618