New failure rate model for iterative software development life cycle process

Software reliability models are one of the most generally used mathematical tool for estimation reliability, failure rate and number remaining faults in software. Existing software designed to follow waterfall development life cycle process. These existing do not take advantage iterative In this paper, a new model centered on process has been developed. It aims integrate modulation factor incorporating varying needs each phase comprises imperfect debugging with possibility fault introduction removal multiple an interval as proceeds. The proposed validated twelve iterations Eclipse dataset nine Java Development toolkit (JDT) dataset. Parameter done by hybrid particle swarm optimization gravitational search algorithm. Experimental results in-terms goodness-of-fit shows that outperformed Jelinski Moranda, Shick Wolverton, Goel Okummotto Imperfect debugging, GS Mahapatra, Modified Wolverton 83.33% eclipse 77.77% JDT