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Most verification is concerned with finding incorrect code. Instead, this view looks at the probability that the code will fail if it is faulty. The authors present the benefits of their approach, describe how to design for it, and show how to measure testability through sensitivity analysis.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Voas et al. (1995) studied this question.
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