• DocumentCode
    2451559
  • Title

    Requirements validation via automated natural language parsing

  • Author

    Nanduri, Sastry ; Rugaber, Spencer

  • Author_Institution
    Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    3-6 Jan 1995
  • Firstpage
    362
  • Abstract
    Object oriented analysis (OOA) has become a popular method for analyzing system requirements. Unfortunately however, none of the current versions of OOA have included a validation technique tailored to the object oriented approach. Most, instead, merely recommend document reviews without specifying what kinds of problems to look for. The paper explores the question by applying a natural language parser to a requirements document, extracting candidate objects, methods and associations, composing them into an object model diagram, and then comparing the results to those determined by manual OOA. To do this, we have adapted an automated natural language parser and used it to examine several high level specifications. The results indicate that with a modest amount of effort, our technique can give valuable feedback to the analyst
  • Keywords
    formal specification; formal verification; grammars; natural languages; object-oriented methods; OOA; automated natural language parser; automated natural language parsing; candidate objects; document reviews; high level specifications; object model diagram; object oriented analysis; requirements document; requirements validation; system requirements; validation technique; Automation; Design methodology; Documentation; Formal specifications; Guidelines; Natural languages; Object detection; Object oriented methods; Object oriented modeling; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
  • Conference_Location
    Wailea, HI
  • Print_ISBN
    0-8186-6930-6
  • Type

    conf

  • DOI
    10.1109/HICSS.1995.375617
  • Filename
    375617