Hyper-geometric distribution software reliability growth model with imperfect debugging

R. Hou, S. Kuo, Yi-Ping Chang
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引用次数: 11

Abstract

Debugging actions during the test/debug phase of software development are not always performed perfectly. That is, not all the software faults detected are perfectly removed without introducing new faults. This phenomenon is called imperfect debugging. The hyper-geometric distribution software reliability growth model (HGDM) was developed for estimating the number of software faults initially in a program. We propose an extended model based on the HGDM incorporating the notion of imperfect debugging.
具有不完善调试的超几何分布软件可靠性增长模型
软件开发测试/调试阶段的调试工作并不总是完美无缺的。也就是说,并非所有检测到的软件故障都能在不引入新故障的情况下完美排除。这种现象被称为不完美调试。超几何分布软件可靠性增长模型(HGDM)是为估算程序中最初出现的软件缺陷数量而开发的。我们在 HGDM 的基础上提出了一个扩展模型,其中包含了不完全调试的概念。
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