Fault Estimation using SRGM Exponential Model Goel-Okumutu Model and Yamada Delayed S Shaped Model - A Review

SRGM models are known for providing a prediction of failure rate of a particular software before its shipment. A variety of software reliability growth models have been proposed to evaluate the reliability of the particular software. An optimized estimation of parameters of software reliability growth models is the matter of concern as the precise prediction of reliability depends on these parameters. One of the best known models among SRGMs are the Goel-Okumoto Model and Yamada S-Shaped model. The former model works with two parameters such as ‘a’ and ‘b’. The value of former is dependent on the later and the later depends upon the environmental factors like platform used, ability of the program, tool being used and many more. If we are provided with the failure data of an existing project then we can easily find the value of parameter b. The latter also has a and b parameters but with some different pre-conditions. In this paper, we perform a comparative analysis in the use of Cuckoo Search Algorithm and simulated annealing for estimating the models’ parameters.