Abstract
The failure probability of a modular software system depends on the reliabilities of the modules and the software operationalpro®le. The software operationalpro®le estimated in the development phase has inherent uncertainty because estimation error is inevitable and the operationalpro®le often changes in the operation phase. The software project manager must take this uncertainty into account, so that the customers will not suffer from an unacceptably large failure probability even when his/her operationalpro®le deviates from the estimated one. In this paper, we formulate and solve three optimizing models for software reliability allocation under an uncertain operationalpro®le.The numerical results indicate that when we take the uncertainty into account, the additional software development cost required is acceptably small.
| Original language | English |
|---|---|
| Pages (from-to) | 401-411 |
| Number of pages | 11 |
| Journal | Journal of the Operational Research Society |
| Volume | 48 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Apr 1997 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
User-Defined Keywords
- Allocation
- Computers
- Reliability
- Software
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