DocumentCode :
1363174
Title :
Some new models of software testing with performance comparisons
Author :
Downs, T. ; Garrone, P.
Author_Institution :
Queensland Univ., Brisbane, Qld., Australia
Volume :
40
Issue :
3
fYear :
1991
fDate :
8/1/1991 12:00:00 AM
Firstpage :
322
Lastpage :
328
Abstract :
Two models of software testing, developed previously by T. Downs (see IEEE Trans. Software Eng., vol.SE-11, no.4, p.375-86, 1985, and IEEE Trans. Software Eng., vol.SE-12, no.9, p.979-87, 1986), are generalized to incorporate a greater degree of realism. This generalization leads to three new models. A fourth model, which has been developed using a different line of reasoning, is also presented. The performance of these models as reliability predictors is assessed by applying them to 16 sets of failure data collected from various software development projects. Comparisons of performance are made with the two earlier models and with two variants of the model of B. Littlewood and L. Verall (1973). Three distinct measurers of performance are employed. The performance of the new models is generally superior to that of the older models with one model showing outstanding performance under all three measures
Keywords :
performance evaluation; program testing; software reliability; failure data; performance comparisons; reliability predictors; software testing; Costs; Performance analysis; Predictive models; Probability; Programming; Software reliability; Software systems; Software testing; Statistical analysis; Stochastic processes;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.85452
Filename :
85452
Link To Document :
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