Abstract
The software reliability model is one of the important approaches to predict and evaluate software reliability quantitatively.The software failure data to be analyzed should be considered as a particular realization of a stochastic process.In this paper,a new software reliability growth model considering warps between different software failure processes is proposed.The experimental results based on two real data sets show that the proposed model has better prediction and curve fitting abilities than that of some other conditional NHPP software reliability growth models.The measures used for comparison are mean square of fitting error,predicted error and relative error.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
