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
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