Parameter Estimation and Prediction Methods for Hyper-Geometric Distribution Software Reliability Growth Model 


Vol. 5,  No. 9, pp. 2345-2352, Sep.  1998
10.3745/KIPSTE.1998.5.9.2345


PDF
  Abstract

The hyper-geometric distribution software reliability growth model was recently developed and successfully applied. Due to mathematical difficulty of the maximum likelihood method, the least squares method has been suggested for parameter estimation by the previous studies. We first summarize and compare the minimization criteria adopted by the previous studies. It is then shown that the weighted least squares method is more appropriate because of the nonhomogeneous variability of the number of newly detected faults. The adequacy of the weighted least squares method is illustrated by two numerical examples. Finally, we propose a new method for predicting the number of faults newly discovered by next test instances. The new prediction method can be used for determining the time to stop testing.

  Statistics
  Cite this article

[IEEE Style]

P. J. Yang, Y. C. Yeul, L. B. Kwon, "Parameter Estimation and Prediction Methods for Hyper-Geometric Distribution Software Reliability Growth Model," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 9, pp. 2345-2352, 1998. DOI: 10.3745/KIPSTE.1998.5.9.2345.

[ACM Style]

Park Joong Yang, Yoo Chang Yeul, and Lee Bu Kwon. 1998. Parameter Estimation and Prediction Methods for Hyper-Geometric Distribution Software Reliability Growth Model. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 9, (1998), 2345-2352. DOI: 10.3745/KIPSTE.1998.5.9.2345.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals