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
Link To Document :
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