航空装备软件可靠性增长模型研究

Aviation Equipment Software Reliability Growth Models with Normal Failure Time Distributions

针对航空装备软件可靠性评估问题,构建了软件故障时间服从正态分布的可靠性增长模型。模型有较强的灵活性,对不同的软件故障数据有较强的适应能力。在研究过程中,假设故障时间服从截取正态分布和对数正态分布,采EM算法,基于NHPP的SRGM的模型框架构建了一种软件可靠性增长模型。通过对16种典型故障数据的适应性和准确性进行测试,证明了设计方法和模型对不同分布形式故障数据的强适应性,验证了所建模型在工程中应用的有效性。

Aiming at the problem of software reliability evaluation of aviation equipment, this paper proposes software reliability growth models(SRGM) where the software failure time follows normal distribution. The proposed model is mathematically tractable and has sufficient ability of fitting to the software failure data. In particular, we consider the parameter estimation algorithm for the SRGM with truncated normal distribution and log-normal distribution. The developed algorithm is based on an expectation-maximization(EM) algorithm and is quite simple for implementation as software application. Numerical experiment was devoted to investigating the fitting ability of the SRGMs with normal distribution through 16 types of failure time data collected in real software projects..