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| Content Provider | ACM Digital Library |
|---|---|
| Author | Miyamoto, Isao |
| Abstract | This paper discusses actual software reliability data obtained in an on line real time environment. The measures used are the reliability function R(t) and the mean time between software errors MTBSE. How to measure the operational data of R(t) or MTBSE and to analyze the measurement results are described, presenting collected reliability data. This paper proposes some quantitative models which can be used to measure, manage and predict the level of perfection of software during the test stage. The error model used in this paper is based on Shooman's work1), and the number of errors remaining in a software program is modeled in terms of the number of errors corrected, the additional errors because of erroneous debugging, and observed number of errors detected. Also the assumption is made that the software error rate is proportional to the number of remaining errors. The major problems to be met during system development are readjusted. |
| Starting Page | 194 |
| Ending Page | 203 |
| Page Count | 10 |
| File Format | |
| ISSN | 03621340 15581160 |
| DOI | 10.1145/390016.808440 |
| Journal | ACM SIGPLAN Notices (SIGP) |
| Volume Number | 10 |
| Issue Number | 6 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1983-05-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | User space Mean time between software errors Reliability function Input space System space Error model Reliability model Software reliability Test space |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Software |
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