It is known that quantitative measures for the reliability of software systems can be derived from software reliability models. And, as such, support the product development process. Over the past four decades, research activities in this area have been performed. As a result, many software reliability models have been proposed. It was shown that, once these models reach a certain level of convergence, it can enable the developer to release the software. And stop software testing accordingly. Criteria to determine the optimal testing time include the number of remaining errors, failure rate, reliability requirements, or total system cost. In this paper we will present our results in predicting the reliability of software for agile testing environments. We seek to model this way of working by extending the Jelinski-Moranda model to a ‘stack’ of feature-specific models, assuming that the bugs are labelled with the feature they belong to. In order to demonstrate the extended model, several prediction results of actual cases will be presented. The questions to be answered in these cases are: how many software bugs remain in the software and should one decide to stop testing the software?

众所周知，可以从软件可靠性模型中得出用于软件系统可靠性的定量度量。因此，支持产品开发过程。在过去的四十年中，已经在这一领域进行了研究活动。结果，提出了许多软件可靠性模型。结果表明，一旦这些模型达到一定程度的融合，就可以使开发人员发布软件。并相应地停止软件测试。确定最佳测试时间的标准包括剩余错误数，故障率，可靠性要求或系统总成本。在本文中，我们将介绍预测敏捷测试环境中软件可靠性的结果。我们假设将错误标记为它们所属于的特征，从而将Jelinski-Moranda模型扩展到特定于特征的模型的“堆栈”中，从而为这种工作方式建模。为了证明扩展模型，将给出一些实际案例的预测结果。在这些情况下要回答的问题是：软件中还剩下多少软件错误，应该决定停止测试该软件吗？