Analysis Of Fuzzy Software Reliability Growth Model And Optimal Release Policy With Log-Logistic Testing Effort Under Imperfect Debugging

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.