Parameter Estimation and Validation Testing Procedures for Software Reliability Growth Model
Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 12)Publication Date: 2016-12-05
Authors : Manohar Singh; Vaibhav Bansal;
Page : 1675-1680
Keywords : SRGM; Parameters of SRGM; Goodness of Fit; Least Square Estimation; Maximum Likelihood Estimator; SSE; MSE;
Abstract
In this age of technology, computers are being used to monitor and control safety critical and civilian systems with a great demand for higher quality software products. So reliability of the Software is the primary concern for both software developer and software user. The Software Reliability Growth Model can be used to predict the number of failures that may be encountered during software testing process. The Software Reliability Growth Model (SRGM) is a mathematical model of how the software reliability improves as faults are detected and repaired. Several Software Reliability Growth Models have been proposed during the past three decades for assessing the reliability of software product. In this paper we provide procedures to estimate the parameters of SRGMs and a critical analysis of prediction of Goodness of Fit using some existing Software Reliability Growth Models.
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