DocumentCode
1442897
Title
The estimation of parameters of the hypergeometric distribution and its application to the software reliability growth model
Author
Tohma, Yoshihiro ; Yamano, Hisashi ; Ohba, Morio ; Jacoby, Raymond
Author_Institution
Dept. of Comput. Sci., Tokyo Inst. of Technol., Japan
Volume
17
Issue
5
fYear
1991
fDate
5/1/1991 12:00:00 AM
Firstpage
483
Lastpage
489
Abstract
Six ways to estimate parameters of the hypergeometric distribution are investigated, and their accuracies are examined comparatively. It is demonstrated that the least-squares sum method is the best one among those tried, and can be applied to real test/debug data for estimating the number of faults still resident in a program after test/debugging. By this method the estimation time can be reduced greatly
Keywords
least squares approximations; parameter estimation; program debugging; program testing; software reliability; hypergeometric distribution; least-squares sum method; parameter estimation; program debugging; program fault estimation; program testing; software reliability growth model; Application software; Computer science; Computer science education; Costs; Jacobian matrices; Parameter estimation; Programming profession; Software debugging; Software reliability; Software testing;
fLanguage
English
Journal_Title
Software Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0098-5589
Type
jour
DOI
10.1109/32.90450
Filename
90450
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