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首页> 外文会议>ISIM'98 Proceedings of the Fourth China-Japan International Symposium on Industrial Management October 14-16, 1998, Dalian, China >Imperfect Debugging Models with Introduced Software Faults and Their Comparisons
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Imperfect Debugging Models with Introduced Software Faults and Their Comparisons

机译：引入软件故障的不完善调试模型及其比较

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摘要

The assumption that all of detected faults are perfectly removed by debugging without introducing new other faults is considered to be unrealistic in software reliability modeling. In this paper, applying a nonhomogeneous Poisson process, we discuss several software reliability growth models considering the faults newly introduced to overcome this unrealistic assumption. These models explicitly or implicitly assume that new faults are randomly introduced when the detected faults are corrected and removed. In the models which explicitly recognize this assumption it is assumed that there are two types of detected faults: the inherent faults originally latent in a software system before testing or operation and the faults introduced by imperfect debugging. The models discussed here are compared by using several evaluation criteria in terms of goodness-of-fit to several data sets observed in actual software testing.
机译：在软件可靠性建模中，认为通过调试可以完全消除所有检测到的故障而不引入其他新故障的假设是不现实的。在本文中，应用非均匀泊松过程，考虑到为了克服这个不切实际的假设而新引入的故障，我们讨论了几种软件可靠性增长模型。这些模型显式或隐式地假定在纠正和消除检测到的故障时会随机引入新故障。在明确认识到这一假设的模型中，假定检测到的故障有两种类型：测试或操作之前最初潜藏在软件系统中的固有故障以及不完善的调试所引入的故障。通过使用几种评估标准对拟合度与实际软件测试中观察到的多个数据集进行了比较，对此处讨论的模型进行了比较。

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