Hyper-geometric distribution model to estimate the number of residual software faults

Y. Tohma, R. Jacoby, Y. Murata, Moriki Yamamoto
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引用次数: 72

Abstract

It is shown that the hyper-geometric distribution model can be applied to different types of test-and-debug data to estimate the number of initial software faults. Examples show that the fitness of the estimated growth curves of the model to real data is satisfactory. The relationship of the model to those proposed earlier is clarified. Some of them can be expressed as a special case of the proposed model. The S-shaped characteristic of the growth curve can also be introduced using this model.<>
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基于超几何分布模型的软件剩余故障估计
结果表明,超几何分布模型可以应用于不同类型的测试和调试数据,以估计初始软件故障的数量。实例表明,该模型估计的生长曲线与实际数据的拟合度令人满意。澄清了该模型与前面提出的模型的关系。其中一些可以表示为所提出模型的特殊情况。该模型还可以引入生长曲线的s型特征。
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What are the 'carry over effects' in changing from a procedural to a declarative approach? Critical issues in real-time software systems Models to estimate the number of faults still resident in the software after test/debug process Evaluating software development environment quality Structuring large versioned software products
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