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Predicting software reliability using an imperfect debugging Jelinski Moranda Non-homogeneous Poisson Process model

机译:使用不完善的调试Jelinski Moranda非均匀泊松过程模型预测软件可靠性

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Earlier software reliability models have been criticised for their unrealistic assumption of perfect debugging and that they give their answers far too late. Although several software reliability models that incorporate imperfect debugging have been presented during the last several years only few attempts have been made to predict further into the future. These attempts were confined to models that assume perfect debugging. In the present study the imperfect debugging variant of the JMNHPP model is used to obtain one and further step ahead predictions of the reliability of a program. The preliminary results of the study are encouraging. When imperfect debugging is incorporated in the JMNHPP model, predictions can be obtained much earlier in the development and are reasonably consistent with their one step ahead predictions.
机译:早期的软件可靠性模型因其不切实际的完美调试假设而受到批评,并且给出答案的时机太迟了。尽管在过去的几年中已经提出了几种结合了不完善调试的软件可靠性模型,但仅进行了很少的尝试来预测未来。这些尝试仅限于进行完美调试的模型。在本研究中,JMNHPP模型的不完善的调试变体被用于获得程序可靠性的一个进一步的预测。该研究的初步结果令人鼓舞。如果将不完善的调试合并到JMNHPP模型中,则可以在开发过程中更早地获得预测,并且与他们的预测相距很远。

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