%0 Journal Article
%T A Comparison of Parameter Best Estimation Method for Software Reliability Models
%A Latha Shanmugam
%A Lilly Florence
%J International Journal of Software Engineering & Applications
%D 2012
%I Academy & Industry Research Collaboration Center (AIRCC)
%X During the past few Decades, many software reliability growth models have been suggested for estimating reliability ofsoftware as software reliability growth models. The Functions suggested were non-linear in nature, so it was difficult toestimate the proper parameters. An Estimation method based on Ant Colony Algorithm in which parameters areestimated is discussed in this paper. In this paper, Numerical examples which have been based on five sets of real failuredata have been discussed Using existing methods viable solutions for some of the models and data sets cannot beobtained, where as in the proposed method, at least one solution can be obtained. The accuracy of the results usingproposed method when compared with PSO algorithm has higher accuracy for at least 10 times for majority of themodels
%K Software Reliability Growth Model
%K Estimation
%K Particle Swam Optimization
%K Ant Colony Algorithm
%U http://airccse.org/journal/ijsea/papers/3512ijsea08.pdf