A Statistical Analysis of Operational Profile Driven Testing
| Autor: | Herman Hartmann |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Engineering business.industry 0211 other engineering and technologies 020207 software engineering Software performance testing Statistical model 02 engineering and technology Intra-rater reliability Reliability engineering Recovery testing Acceptance testing 0202 electrical engineering electronic engineering information engineering Operational acceptance testing Software reliability testing business human activities Reliability (statistics) |
| Zdroj: | QRS Companion |
| DOI: | 10.1109/qrs-c.2016.18 |
| Popis: | The amount of faults in software products is constantly increasing and it is not feasible to remove all faults. Within many organizations, operational profiles are used to focus the test activities. Prior art has claimed that when reliability growth tests are allocated using operational profiles, the reliability level will be the maximum practically achievable, but this claim has never been proven nor rejected. In this paper a statistical model is introduced that captures the relation between faults and failures. Using the model the effects of using operational profiles for reliability growth testing is analyzed. The analysis shows that the benefits of using operational profiles depend on a number of factors such as the number of faults and the failure probability. The results show that using operational profiles for reliability growth testing is beneficial, however not when a very high reliability is obtained, due to the effect of over testing. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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