Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Software reliability is an important issue in the software development process. The software development process with considerations of cost and failure time are essential. Software failure time have been proposed in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model, trend analysis already been developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offers information of outline content. In this study, we were discussed censoring failure time and predicted failure time using nonlinear regression models that is growth, quadratic and S-curve type which error terms, each other are different model. Model selection using the coefficient of determination and the mean square error were presented for effective comparison. In result of analysis, relatively, growth regression model than any models in terms of goodness of fit is effective model.
How to cite this article:
Tae-Jin Yang. The Analysis and Predict of Software Failure Time Based on Nonlinear Regression.
DOI: https://doi.org/10.36478/jeasci.2018.4376.4380
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.4376.4380