A nonparametric software-reliability growth model
A nonparametric software-reliability growth model
复制标题
非参数软件可靠性增长模型
DOI：
10.1109/24.85453
复制
发表时间：
1991
影响因子：
5.9
通讯作者：
Douglas R. Miller
中科院分区：
文献类型：
--
作者：
A. Sofer;Douglas R. Miller
作者（程序第八编）；软件工程师，伦敦，英国，p. 334 -4, 1985)以前引入了一个基于故障率完全单调性的软件可靠性增长的非参数模型。作者通过开发一种基于该模型提供可靠性增长长期预测的方法，扩展了完全单调软件模型。他们通过外推失效率和平均函数推导出上界和下界。然后使用这些来获得对未来软件故障率和平均未来故障数的估计。初步评价表明，该方法具有较强的鲁棒性，与参数化方法相比具有一定的竞争力。>
The authors (Proc. Eighth Int. Conf. Software Eng., London, England, p.343-4, 1985) previously introduced a nonparametric model for software-reliability growth which is based on complete monotonicity of the failure rate. The authors extend the completely monotone software model by developing a method for providing long-range predictions of reliability growth, based on the model. They derive upper and lower bounds on extrapolation of the failure rate and the mean function. These are then used to obtain estimates for the future software failure rate and the mean future number of failures. Preliminary evaluation indicates that the method is competitive with parametric approaches, while being more robust. >