• DocumentCode
    1010734
  • Title

    Assessing software designs using capture-recapture methods

  • Author

    Vander Wiel, S.A. ; Votta, Lawrence G.

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • Volume
    19
  • Issue
    11
  • fYear
    1993
  • fDate
    11/1/1993 12:00:00 AM
  • Firstpage
    1045
  • Lastpage
    1054
  • Abstract
    The number of faults not discovered by the design review can be estimated by using capture-recapture methods. Since these methods were developed for wildlife population estimation, the assumptions used to derive them do not match design review applications. The authors report on a Monte Carlo simulation to study the effects of broken assumptions on maximum likelihood estimators (MLEs) and jackknife estimators (JEs) of faults remaining. It is found that the MLE performs satisfactorily if faults are classified into a small number of homogeneous groups. Without grouping, the MLE can perform poorly, but it generally does better than the JE
  • Keywords
    maximum likelihood estimation; software quality; software reliability; statistical analysis; Monte Carlo simulation; broken assumptions; capture-recapture methods; design reviews; jackknife estimators; maximum likelihood estimators; software designs; software quality assurance; statistical estimation; wildlife population estimation; Application software; Design methodology; Fault detection; Maximum likelihood estimation; Probability; Process design; Software design; Software quality; Software systems; Wildlife;
  • fLanguage
    English
  • Journal_Title
    Software Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-5589
  • Type

    jour

  • DOI
    10.1109/32.256852
  • Filename
    256852