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Considering the goals of prioritization in the context of MBT, a number of factors can be determinant such as the size and the coverage of the suite, the structure of the model (that may determine the size and structure of test cases), the amount and distribution of failures and the degree of redundancy of test cases.
Duncan proposed a fixed run length optimization method, assuming one failure mode with an exponential distribution of failures [9], while Banerjee and Rahim proposed an elegant variable run length optimization method, assuming one failure mode with a Weibull distribution of failures [10].
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Figure 1 Distribution of failure modes among groups.
Fig. 3 Distribution of failure modes between groups.
The distribution of failure modes in the DDS groups is described in Table 3.
In predicting the lifetimes of geogrids, the underlying distribution of failure times was determined based on identification of the failure mechanism.
However, a large variation in failure stress was found for the fibers of both kinds, necessitating a statistical analysis assuming a Weibull distribution of failure.
By combining materials information, finite element analysis of the stress field and probabilistic fracture mechanics model, the distribution of failure probability subjected to fatigue loads was predicted.
While the MC method is computationally more expensive and less accurate than the PP method, it produces a distribution of failure predictions.
Weibull distribution of failure rate is calculated according to the following equation: λ T = f t R t α β τ − γ β α − 1. Open image in new window (11).
The empirical approach is used to estimate the cdf using only the distribution of failure voltages for each run in a designed experiment and is not derived from the factor settings.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com