• DocumentCode
    2441132
  • Title

    Exploring techniques for rationale extraction from existing documents

  • Author

    Rogers, Benjamin ; Gung, James ; Qiao, Yechen ; Burge, Janet E.

  • Author_Institution
    Dept. of Comput. Sci. & Software Eng., Miami Univ., Oxford, OH, USA
  • fYear
    2012
  • fDate
    2-9 June 2012
  • Firstpage
    1313
  • Lastpage
    1316
  • Abstract
    The rationale for a software system captures the designers´ and developers´ intent behind the decisions made during its development. This information has many potential uses but is typically not captured explicitly. This paper describes an initial investigation into the use of text mining and parsing techniques for identifying rationale from existing documents. Initial results indicate that the use of linguistic features results in better precision but significantly lower recall than using text mining.
  • Keywords
    data mining; grammars; program compilers; text analysis; exploring techniques; linguistic features; parsing techniques; rationale extraction; software system; text mining; Feature extraction; Logic gates; Ontologies; Pragmatics; Software engineering; Text mining; rationale; text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (ICSE), 2012 34th International Conference on
  • Conference_Location
    Zurich
  • ISSN
    0270-5257
  • Print_ISBN
    978-1-4673-1066-6
  • Electronic_ISBN
    0270-5257
  • Type

    conf

  • DOI
    10.1109/ICSE.2012.6227091
  • Filename
    6227091