Abstract
ContextIn this study, a software optimal release time with cost-reliability criteria has been discussed in an imperfect debugging environment. ObjectiveThe motive of this study is to model uncertainty involved in estimated parameters of the software reliability growth model (SRGM). MethodInitially the reliability parameters of SRGM are estimated using least square estimation (LSE). Considering the uncertainty involved in the estimated parameters due to human behavior being subjective in nature and the dynamism of the testing environment, the concept of fuzzy set theory is applicable in developing SRGM. Finally, using arithmetic operations on fuzzy numbers, the reliability and total software cost are calculated. ResultsVarious reliability measures have been computed at different levels of uncertainties, and a comparison has been made with the existing results reported in the literature. ConclusionIt is evident from the results that a better prediction of reliability measures, namely, software reliability and total software cost can be made under the fuzzy paradigm.
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