@article {10.3844/jcssp.2013.1232.1240,
article_type = {journal},
title = {ENHANCEMENT AND COMPARISON OF ANT COLONY OPTIMIZATION FOR SOFTWARE RELIABILITY MODELS},
author = {Shanmugam, Latha and Florence, Lilly},
volume = {9},
number = {9},
year = {2013},
month = {Aug},
pages = {1232-1240},
doi = {10.3844/jcssp.2013.1232.1240},
url = {https://thescipub.com/abstract/jcssp.2013.1232.1240},
abstract = {In Common parlance, the traditional software reliability estimation methods often rely on assumptions like statistical distributions that are often dubious and unrealistic. The ability to predict the number of faults during development phase and a proper testing process helps in specifying timely release of software and efficient management of project resources. In the Present Study Enhancement and Comparison of Ant Colony Optimization Methods for Software Reliability Models are studied and the estimation accuracy was calculated. The Enhanced method shows significant advantages in finding the goodness of fit for software reliability model such as finite and infinite failure Poisson model and binomial models.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}