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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Denghua Mei |
| Copyright Year | 2007 |
| Description | Author affiliation: South China Univ. of Technol., Guangzhou (Denghua Mei) |
| Abstract | It is necessary for the software system to work in an acceptable degree of reliability and quality. Stochastic modelling, queueing systems and network models, neural networks models, wavelet models, etc are some of interpretative methods to forecast the reliability of software system. But these approaches contain some limitations. It is still not immature for software reliability prediction. A scientific method to predict the software system reliability is presented in the paper. The grey forecasting method is effective in time series data analysis like software reliability in case of lacking information or bad data. We give the design of grey forecasting model for software system reliability. A practical experiment data is given with comparisons to demonstrate the validity of the forecast data and actual data of software reliability from one of software system development in a company to demonstrate the applicability of the proposed method above to forecast the software reliability data. |
| Starting Page | 299 |
| Ending Page | 302 |
| File Size | 578539 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424412938 |
| DOI | 10.1109/GSIS.2007.4443285 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data analysis Stochastic systems Difference equations Neural networks Differential equations Predictive models Reliability theory Software systems Software reliability Intelligent systems |
| Content Type | Text |
| Resource Type | Article |
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