• DocumentCode
    2709438
  • Title

    Are Size Measures Better Than Expert Judgment? An Industrial Case Study on Requirements Volatility

  • Author

    Loconsole, Annabella ; Börstler, Jürgen

  • Author_Institution
    Umea Univ., Umea
  • fYear
    2007
  • fDate
    4-7 Dec. 2007
  • Firstpage
    238
  • Lastpage
    245
  • Abstract
    Expert judgment is a common estimation approach in industry. However, there is very little research on the accuracy of expert judgment outside the area of effort estimation. In this paper, we present an industrial case study investigating subjective and objective measures of requirementss volatility. Data was collected in retrospect for all use cases of a medium-size software project. In addition, we determined subjective volatility by interviewing developers and managers of the project. Our data analysis show that structural measures perform better than expert judgment in estimating the total number of changes to use case based requirements. These results confirm results from a previous case study by the authors and suggest that project managers should not rely on expert judgment alone for decision making.
  • Keywords
    formal specification; formal verification; common estimation approach; decision making; expert judgment; medium-size software project; requirements volatility; Computer industry; Data analysis; Decision making; Performance evaluation; Project management; Size measurement; Software engineering; Software measurement; Stability; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference, 2007. APSEC 2007. 14th Asia-Pacific
  • Conference_Location
    Aichi
  • ISSN
    1530-1362
  • Print_ISBN
    0-7695-3057-5
  • Type

    conf

  • DOI
    10.1109/ASPEC.2007.80
  • Filename
    4425859