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Estimating the number of remaining defects after inspection

机译:估计检查后剩余缺陷的数量

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An essential component of all software inspection processes is a well-founded decision about continuing or stopping the current process. This decision should be based upon directly relevant quantitative information — the number of defects remaining in the artefact. This quantity can be estimated by the use of capture–recapture methods. Several software engineering papers have explored this topic, but the question of which capture–recapture technique is best still remains unresolved. This paper attempts to shed further light upon this question. After reviewing the relevant capture–recapture models and previous evaluations within a software engineering context, the paper proceeds to evaluate the models by using data collected from subject-based experiments on software inspection. The experiments used artefacts where the number of defects was known and hence a direct measure of the accuracy of the various capture–recapture techniques was available. The paper reports that most heterogeneity models show, in general, superior performance — especially the Jackknife estimator. However, the paper concludes that further work is required to correct the limitations of the current models if reliable estimates are to be achieved. Copyright © 1999 John Wiley & Sons, Ltd.
机译:所有软件检查过程的重要组成部分是关于继续或停止当前过程的充分依据的决定。该决定应基于直接相关的定量信息-工件中残留的缺陷数量。可以通过使用捕获-捕获方法来估计此数量。几篇软件工程论文已经探讨了这个主题,但是哪种捕获-再捕获技术最好的问题仍然没有解决。本文试图进一步阐明这个问题。在回顾了相关的捕获-捕获模型和软件工程环境中的先前评估之后,本文继续使用从基于主题的软件检查实验中收集的数据来评估模型。实验使用了已知缺陷数量的人工制品,因此可以直接测量各种捕获-捕获技术的准确性。该论文报告说,大多数异构模型通常都显示出优异的性能,尤其是Jackknife估计器。但是,本文得出结论,如果要获得可靠的估计,则需要进一步的工作来纠正当前模型的局限性。版权所有©1999 John Wiley&Sons,Ltd.

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