Research Article
New NHPP SRM Based on Generalized S-shaped Fault-Detection Rate Function
@INPROCEEDINGS{10.1007/978-3-319-15392-6_21, author={Nguyen Hung-Cuong and Huynh Quyet-Thang}, title={New NHPP SRM Based on Generalized S-shaped Fault-Detection Rate Function}, proceedings={Nature of Computation and Communication. International Conference, ICTCC 2014, Ho Chi Minh City, Vietnam, November 24-25, 2014, Revised Selected Papers}, proceedings_a={ICTCC}, year={2015}, month={2}, keywords={Software Reliability Modelling Non-Homogeneous Poisson Process S-shaped curve}, doi={10.1007/978-3-319-15392-6_21} }- Nguyen Hung-Cuong
Huynh Quyet-Thang
Year: 2015
New NHPP SRM Based on Generalized S-shaped Fault-Detection Rate Function
ICTCC
ICST
DOI: 10.1007/978-3-319-15392-6_21
Abstract
Software reliability modelling (SRM) is a mathematics technique to estimate some measures of computer system that relate to software reliability. One group of existing models is using non-homogeneous Poisson process (NHPP) whose fault-number and failure-rate are constant or time-dependent functions. A few studies have been manipulated S-shaped curve to construct their models. However, those works remain some limitations. In this study, we introduce a new model that is based on a generalised S-shaped curve and evaluate it by real data set. After installing it in real code of Matlab and using MLE method to estimate parameter with a range of initial solution, we prove that our model converge to the most basic model of NHPP group, Goel-Okumoto model.
