期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2019
卷号：19
期号：7
页码：185-195
出版社：International Journal of Computer Science and Network Security
摘要：This paper discusses fuzzy software reliability growth model under imperfect debugging environment. Log-logistic testing effort function (LLTEF) is incorporated into software reliability growth model (SRGM). The parameters of LLTEF and SRGM are estimated by using least square and maximum likelihood methods. Also, uncertainties involved in estimated parameters of proposed SRGM due to human conduct are investigated for trapezoidal fuzzy numbers. Computational analysis is performed at different level of uncertainties to compute various measures of software reliability. The results obtained are then comparing with other existing SRGM. It is shown that the proposed SRGM with LLTEF gives reasonable prediction of software reliability under the fuzzy model. Further, under optimal release policy, software cost based on reliability criteria is calculated under the fuzzy condition.
