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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gemoets, L. Kreinovich, V. Melendez, H. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Decision & Inf. Eng., Texas Univ., El Paso, TX, USA (Gemoets, L.) |
| Abstract | the experience of many programmers shows that it is actually impossible to extract all the faults from system-type software, that is commonly involved in resource contention, or from the programs with a sophisticated user interface. Also, it is necessary to estimate the time interval during which the remaining faults will not influence the program. This problem is vital for estimating the cost of the software project. At present about three dozen statistical models (called software reliability models) are used to get such estimates. However, these statistical models lack convincing theoretical-explanation. They are semi-heuristic, and often look like curve-fitting. In this paper, we consider a fuzzy approach to program testing. We formulate the problem of choosing the best fuzzy software reliability model as a mathematical optimization problem, and solve this problem.< |
| Starting Page | 182 |
| Ending Page | 186 |
| File Size | 511613 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780321251 |
| DOI | 10.1109/IJCF.1994.375102 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-12-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software testing Software reliability Computer science Information systems Computer errors Error correction Programming profession Software systems User interfaces Debugging |
| Content Type | Text |
| Resource Type | Article |
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