Abstract
Computer systems can be found almost everywhere in our daily life and they are also extensively used in areas such as defense and finance. Unlike hardware reliability which is a well-developed area, software reliability is relatively new and is generally more difficult to insure. In order to improve the reliability of a software product, the software has to be tested extensively prior to its release. Software reliability models are commonly used to monitor the testing process and to measure and predict future reliability of the software. Such study is also useful to determine the release time of the software product. During the past three decades there have been many software reliability models proposed and studied. This chapter reviews some of the models and discusses the applications of the models for decision making in software development. © 2007 John Wiley & Sons, Ltd. All rights reserved.
| Original language | English |
|---|---|
| Title of host publication | Encyclopedia of Statistics in Quality and Reliability |
| Editors | Fabrizio Ruggeri, Ron S. Kenett, Frederick W. Faltin |
| Publisher | Wiley |
| Pages | 1-8 |
| ISBN (Electronic) | 9780470061572 |
| ISBN (Print) | 9780470018613 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- failure process modeling
- interval estimation
- nonhomogeneous Poisson process
- software reliability models
- testing-resource allocation
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