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Software reliability growth models dominated by randomness
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Shen, Wenhui Wilson, Larry |
| Copyright Year | 1989 |
| Description | The Jelinski-Moranda and Geometric models for software reliability failed the consistency test which was proposed. These models were challenged to take data which comes from a process which they have correctly modeled and to make predictions about the reliability of that process. It was found that either model, given data precisely from a process it correctly models, will usually fail to make good predictions. These problems are attributed to randomness in the data used as input to the models and a remedy is indicated for this lack of robustness, namely replication of data. |
| File Size | 459587 |
| Page Count | 10 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19890020642 |
| Archival Resource Key | ark:/13960/t6062fz25 |
| Language | English |
| Publisher Date | 1989-09-01 |
| Access Restriction | Open |
| Subject Keyword | Statistics And Probability Robustness Mathematics Checkout Predictions Reliability Engineering Mathematical Models Computerized Simulation Random Processes Maximum Likelihood Estimates Software Engineering Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |