Annex 1 |
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5.9.2.1 Statistic Models |

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Statistische Modelle
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** Statistic Models** are based on an estimation of values based on available information about software errors.

** Statistic Models** can be differentiated in models based on the time between the detection of two errors, and in models based on the number of errors (/Goel, 1985/).

Models based on the time between the detection of two errors are, e. g.:

When assuming that errors are corrected right after its detection, the probable time between the detection of errors tends to increase.Models based on the number of errors might be:

- 1. Model by Goel and Okumoto
- 2. Execution Time Model by Musa
- 3. Logarithmic Poisson Execution Time Model by Musa and Okumoto

Since the models are probability models, they are based on a number of assumptions. The most important assumption certainly is that the errors occur independent of each other. Also, it is usually assumed that the error correction will be successful. The disadvantage of the statistic models is that reasonable, probability-theoretical information can only be obtained after a certain application period. These statistic models cannot be used to define the reliability of software prior to its application.

In /Musa, 83/, the following criteria are suggested for the selection of statistic reliability models:

- precision of the prediction
- usefulness
- quality of the assumptions
- simplicity

"Usefulness" refers to the ability of the model to estimate values. Such values are, e. g.:

- the mean time between failures (MTBF)
- the date a preset MTBF is reached
- resource and cost requirements in order to reach a preset MTBF.

The "simplicity" can refer to several aspects. First, it should be simple to collect the data required for the model. Furthermore, the model concept should be simple enough for the user to understand this model without a comprehensive knowledge of the mathematical background.

5.9.2.1.2 Execution Time Model by Musa

5.9.2.1.3 Logarithmic Poisson Execution Time Model by Musa and Okumoto

5.9.2.1.4 Jelinski-Moranda Model

5.9.2.1.5 Model by Schick and Wolverton

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