• DocumentCode
    1576027
  • Title

    Is This Cost Estimate Reliable? -- The Relationship between Homogeneity of Analogues and Estimation Reliability

  • Author

    Ohsugi, Naoki ; Monden, Akito ; Kikuchi, Nahomi ; Barker, Michael D. ; Tsunoda, Masateru ; Kakimoto, Takeshi ; Matsumoto, Ken-ichi

  • Author_Institution
    Nara Inst. of Sci. & Technol., Nara
  • fYear
    2007
  • Firstpage
    384
  • Lastpage
    392
  • Abstract
    Analogy-based cost estimation provides a useful and intuitive means to support decision making in software project management. It derives a cost estimate required for completing a project from information about similar past projects, namely the analogues. While on average this method provides a relatively accurate cost estimate there remains a possibility of large estimation errors. In this paper, we empirically tested the hypothesis that "using more homogeneous analogues produces a more reliable cost estimate" using a software engineering data repository established by the software engineering center (SEC), Information-technology Promotion Agency, Japan. This testing showed that low and high homogeneity projects had a large variation in estimation reliability. For instance, the difference was 22.9% (p = 0.021) in terms of percentage to get accurate estimates (better than Median of Magnitude of Relative Error).
  • Keywords
    costing; project management; software management; software reliability; analogy-based cost estimation; cost estimation reliability; decision making; reliable cost estimate; software engineering data repository; software project management; Computer errors; Costs; Decision making; Estimation error; Euclidean distance; Information science; Project management; Software engineering; Software measurement; Software testing;
  • 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.2007.31
  • Filename
    4343766