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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gopal, G. Damodaran, D. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Statistics, University of Madras, Chennai, India (Gopal, G.) || Center for Reliability, Department of Information Technology, Government of India, Chennai, India (Damodaran, D.) |
| Abstract | Software has been becoming an important and inevitable tool in our modern day to day life. It finds numerous applications such as space, telecommunications technology, military, nuclear plants, air traffic and medical monitoring control. To meet the continuing demand for high quality software, an enormous multitude of Software reliability Growth models have been proposed and adopted in recent years. A new family of distributions has been introduced by incorporating an additional parameter and applied to yield a new two parameter extension of exponential distribution [1]. Parikh et al. [2] call such a family of distributions as Marshall and Olkin Generalized Exponential (MOGE) distributions and studied its inferential problems. In this paper we propose NHPP software reliability Growth models based on MOGE and validate them through different metrics using real data sets. |
| Starting Page | 177 |
| Ending Page | 181 |
| File Size | 558854 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457706264 |
| e-ISBN | 9781457706288 |
| DOI | 10.1109/ICQR.2011.6031704 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-14 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Maximum likelihood estimation Software Reliability Exponential distribution Generalized Exponential families Mean Value Function Software Data models Software reliability Mathematical model NHPP |
| Content Type | Text |
| Resource Type | Article |
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